In [5]:
import os, sys, io
import datetime
import joblib
import numpy as np
import matplotlib.pyplot as plt
from tqdm import tqdm_notebook, tnrange

from keras.layers import (Input, Dense, LSTM, Dropout, TimeDistributed,
                          AveragePooling1D, Flatten, InputLayer, BatchNormalization)
from keras.layers.core import Reshape
from keras.models import Model, Sequential
from keras.optimizers import Adam
from keras.callbacks import TensorBoard
from keras import initializers
import tensorflow as tf

from sklearn import model_selection

sys.path.append('%s/lib' % (os.path.abspath('..')))
from SyntheticLCGenerator import synthetic_light_curve_generator
In [2]:
# Let Keras know that we are using tensorflow as our backend engine
os.environ["KERAS_BACKEND"] = "tensorflow"

# Main Path
main_path = os.path.abspath('..')

# To make sure that we can reproduce the experiment and get the same results
np.random.seed(10)
In [20]:
def load_synthetic_time_series(data_path=None, n_samples=14000, seq_length=50,
                               time_span=4, n_bands=1, n_signals=1, SNR_min=5,
                               f0_interval='narrow',
                               use_time=True, use_err=True):

    if f0_interval == 'narrow':
        f0_inter = [1/10., 1/1.]
    elif f0_interval == 'wide':
        f0_inter = [1/100., 1/0.01]
    else:
        print('Plese define frequency interval...')
        return

    if os.path.exists(data_path):
        print('Loading from: ', data_path)
        aux = np.load(data_path).item()
        samples = aux['samples']
        labels = np.array(aux['labels'])[:, None]
        periods = aux['periods']
        if n_bands == 1:
            samples = samples.reshape(samples.shape[0], samples.shape[2],
                                      samples.shape[3])
        del aux
        if use_time and not use_err:
            samples = samples[:, :, 0:2]
        if not use_time and not use_err:
            samples = samples[:, :, 1:2]
    return samples, labels, periods


def load_real_time_series(data_path=None, survey='EROS2', n_bands=2,
                          use_time=True, use_err=True):

    if os.path.exists(data_path):
        print('Loading from: ', data_path)
        aux = joblib.load(data_path)
        lcs = aux['lcs']
        meta = aux['meta']
        del aux
        lcs = np.stack([x.values for x in lcs])
        print(lcs.shape)
        if n_bands == 1:
            lcs = lcs[:, :, 0:3]
        if use_time and not use_err:
            lcs = lcs[:, :, 0:2]
        if not use_time and not use_err:
            lcs = lcs[:, :, 1:2]
    return lcs, meta
In [78]:
# You will use the Adam optimizer
def get_optimizer(learning_rate):
    return Adam(lr=learning_rate, beta_1=0.5)


def get_generator(optimizer, G_hidden_units, latent_dim, 
                  out_lc_len, n_feat, dropout=0.1):
    generator = Sequential()

    # LSRM ouputs last state
    # generator.add(LSTM(G_hidden_units, input_shape=(out_lc_len, latent_dim),
    #                    return_sequences=False))
    # generator.add(Dense(out_lc_len*n_feat, activation='tanh'))
    # generator.add(Reshape((out_lc_len, n_feat)))
    
    # using all LSTM outputs (sequence)
    generator.add(LSTM(G_hidden_units, input_shape=(out_lc_len, latent_dim),
                       return_sequences=True))
    generator.add(Dropout(dropout))
    
    # generator.add(LSTM(G_hidden_units,
    #                    return_sequences=True))
    # generator.add(Dropout(dropout))

    generator.add(TimeDistributed(Dense(n_feat, activation='tanh')))
    
    # fully connected layers
    # generatortor.add(Dense())

    generator.compile(loss='mean_squared_error', optimizer=optimizer)
    return generator


def get_discriminator(optimizer, D_hidden_units, lc_len,
                      n_feat, dropout=0.1, D_output=1):
    discriminator = Sequential()

    # LSTM output last state
    # discriminator.add(LSTM(D_hidden_units, input_shape=(lc_len, n_feat),
    #                        return_sequences=False, 
    #                        kernel_initializer=initializers.RandomNormal(stddev=0.02)))
    # discriminator.add(Dense(5, activation='tanh'))
    # discriminator.add(Dropout(dropout))
    # discriminator.add(Dense(D_output, activation='sigmoid'))
    
    
    # using all LSTM states, full sequence
    # discriminator.add(BatchNormalization(axis=-1, input_shape=(lc_len, n_feat)))
    discriminator.add(LSTM(D_hidden_units, input_shape=(lc_len, n_feat),
                           return_sequences=True))
    discriminator.add(Dropout(dropout))
    
    # discriminator.add(LSTM(D_hidden_units,
    #                        return_sequences=True,
    #                        kernel_initializer=initializers.RandomNormal(stddev=0.02)))
    # discriminator.add(Dropout(dropout))
    
    discriminator.add(TimeDistributed(Dense(D_output, activation='softmax')))
    discriminator.add(AveragePooling1D(pool_size=lc_len, data_format='channels_last'))
    discriminator.add(Flatten())

    discriminator.compile(loss='binary_crossentropy',
                          optimizer=optimizer, metrics=['acc'])
    return discriminator
In [68]:
def get_gan_network(discriminator, latent_dim, out_lc_len, generator, optimizer):

    # We initially set trainable to False since we only want
    # to train either the generator or discriminator at a time
    discriminator.trainable = False

    # gan input (noise) will be 100-dimensional vectors
    gan_input = Input(shape=(out_lc_len, latent_dim))

    # the output of the generator (an image)
    x = generator(gan_input)

    # get the output of the discriminator
    # (probability if the image is real or not)
    gan_output = discriminator(x)
    gan = Model(inputs=gan_input, outputs=gan_output)
    gan.compile(loss='binary_crossentropy', optimizer=optimizer)

    return gan

Extra functions

In [9]:
# Create a wall of generated time series

def plot_generated_time_series(epoch, generated_lc, test_lc=None, examples=8,
                               dim=(2, 4), figsize=(16, 4)):

    fig, ax = plt.subplots(nrows=dim[0], ncols=dim[1], figsize=figsize)
    for i in range(dim[0]):
        for j in range(dim[1]):
            if use_time and use_err:
                if j == 0 and test_lc is not None:
                    ax[i,j].errorbar(test_lc[j+i*i, :, 0], test_lc[j+i*i, :, 1],
                                     yerr=test_lc[j+i*i, :, 2], fmt='k.')
                else:
                    ax[i,j].errorbar(generated_lc[(i-1)+i*j, :, 0], generated_lc[(i-1)+i*j, :, 1],
                                     yerr=generated_lc[(i-1)+i*j, :, 2], fmt='b.')
            elif use_time and not use_err:
                if j == 0 and test_lc is not None:
                    ax[i,j].plot(test_lc[j+i*i, :, 0], test_lc[j+i*i, :, 1], 'k.')
                else:
                    ax[i,j].plot(generated_lc[(i-1)+i*j, :, 0], generated_lc[(i-1)+i*j, :, 1], 'b.')
            elif not use_time and not use_err:
                if j == 0 and test_lc is not None:
                    ax[i,j].plot(test_lc[j+i*i, :], 'k.')
                else:
                    ax[i,j].plot(generated_lc[(i-1)+i*j, :], 'b.')
    plt.tight_layout()
    # plt.savefig('gan_generated_image_epoch_%d.png' % epoch)
    buf = io.BytesIO()
    plt.savefig(buf, format='png')
    buf.seek(0)
    plt.show()
    return buf
In [10]:
def write_log_scalar(callback, names, logs, step):
    for name, value in zip(names, logs):
        summary = tf.Summary()
        summary_value = summary.value.add()
        summary_value.simple_value = value
        summary_value.tag = name
        callback.writer.add_summary(summary, step)
        callback.writer.flush()
        
def write_log_plot(callback, buf, step):
    image = tf.image.decode_png(buf.getvalue(), channels=4)
    image = tf.expand_dims(image, 0)
    summary = tf.summary.image("Generated_Image", image,
                               max_outputs=1)
    callback.writer.add_summary(tf.keras.backend.eval(summary), step)
    callback.writer.flush()
In [11]:
def normalize(data, norm_time=False, scale_to=[0, 1], n_feat=2):
    normed = np.zeros_like(data)
    for i, lc in enumerate(data):
        normed[i, :, n_feat-1] = (lc[:, n_feat-1] - np.min(lc[:, n_feat-1])) / \
            (np.max(lc[:, n_feat-1]) - np.min(lc[:, n_feat-1]))
        if scale_to != [0, 1]:
            normed[i, :, n_feat-1] = (normed[i, :, n_feat-1] * (scale_to[1] - scale_to[0])) + scale_to[0]
        if norm_time:
            normed[i, :, n_feat-2] = (lc[:, n_feat-2] - np.min(lc[:, n_feat-2])) / \
                (np.max(lc[:, n_feat-2]) - np.min(lc[:, n_feat-2]))
            if scale_to != [0, 1]:
                normed[i, :, n_feat-2] = (normed[i, :, n_feat-2] * (scale_to[1] - scale_to[0])) + scale_to[0]
        else:
            normed[i, :, n_feat-2] = lc[:, n_feat-2]
    return normed


def standarize(data, stand_time=False):
    standar = np.zeros_like(data)
    for i, lc in enumerate(data):
        standar[i, :, 1] = (lc[:, 1] - np.mean(lc[:, 1])) / np.std(lc[:, 1])
        if stand_time:
            standar[i, :, 0] = (lc[:, 0] - np.mean(lc[:, 0])) / np.std(lc[:, 0])
        else:
            standar[i, :, 0] = lc[:, 0]
    return standar


def get_noise(n_samples, n_timesteps=50, latent_dim=5, use_time=True):
    latent = np.random.normal(size=[n_samples, n_timesteps, latent_dim])
    if use_time:
        latent[:, :, 0] = sample_time(n=n_timesteps)
    return latent


def sample_time(n=50, t_range=[0, 4], irregular=True):
    time = np.linspace(t_range[0], t_range[1], num=n*10)
    time = np.random.choice(time, size=n, replace=False)
    return np.sort(time)

Tsting area

test = standarize(samples[:2], stand_time=True) plt.plot(samples[0,:,0], samples[0,:,1], '.k') plt.plot(test[0,:,0], test[0,:,1], '.r') plt.show()test_d = Sequential() test_d.add(LSTM(10, input_shape=(50,3), return_sequences=True)) test_d.add(Dense(1, activation='sigmoid')) test_d.add(AveragePooling1D(50)) test_d.add(Reshape((1, ))) test_d.compile(loss='mean_squared_error', optimizer='adam') print(test_d.summary()) print('LSTM 1 output shape: ',test_d.predict(samples[0:10]).shape)test_g = Sequential() test_g.add(LSTM(5, input_shape=(100,3), return_sequences=True)) test_g.add(TimeDistributed(Dense(3))) test_g.compile(loss='mean_squared_error', optimizer='adam') print(test_g.summary()) print('LSTM 1 output shape: ',test_g.predict(test_noise).shape)print('Original lc: ', samples[0].mean(), samples[0].std()) for k in range(1): plt.plot(samples[k], '.') plt.show() # define model inputs1 = Input(shape=(50, 1)) lstm1 = BatchNormalization(axis=-1)(inputs1) model = Model(inputs=inputs1, outputs=lstm1) norm = test_d.predict(samples[0]) print('Batch Norm output shape: ', norm.mean(), norm.std()) plt.plot(norm, '.') plt.show()

3. Settings

In [84]:
# data
n_samples = 28000
n_obs = 50
n_bands = 1
use_time = True
use_err = False
n_feat = 3
if (use_time and not use_err) or (not use_time and use_err):
    n_feat = 2
elif not use_time and not use_err:
    n_feat = 1
data_name = 'SynSine_time%s_err%s' % (str(use_time)[0], str(use_err)[0])
# data_name = 'EROS2_trim215_augmented'

# GAN architecture
model_name = 'LSTM_GAN'
learning_rate = 0.5
latent_dim = 5
D_hidden_units = 4
G_hidden_units = 4
D_output = 1
G_dropout = 0.2
D_dropout = 0.1
batch_size = 28
n_epochs = 200
N_gen_feat = n_feat
save_interval = 5
viz_interval = 10
batch_count = round(7000*.6 / batch_size)
n_examples = 8
gen_lc_len = n_obs

2. Retrieve data

data_path = '%s/data/real/EROS2_meta+lcs_sample_lc_trim_augmented.pkl' % (main_path) samples, meta = load_real_time_series(data_path, use_time=use_time, use_err=use_err) samples = normalize(samples[:7000], norm_time=False, scale_to=[-1, 1], n_feat=n_feat) meta = meta[:7000] print('Samples shape: ', samples.shape) [x_train, x_test, y_train, y_test] = model_selection.train_test_split(samples, meta, train_size=0.6)
In [80]:
data_path = ('%s/data/synthetic/sine_nsamples%i_seqlength%i_nbands%i_nsig%i_timespan%i_SNR%i_f0%s.npy'
             % (main_path, n_samples, n_obs, n_bands, 1, 4, 40, 'narrow'))
samples, labels, periods = load_synthetic_time_series(data_path, use_time=use_time, use_err=use_err)

samples = normalize(samples[:7000], norm_time=False, scale_to=[-1, 1], n_feat=n_feat)
labels = labels[:7000]
periods = periods[:7000]

print('Samples shape: ', samples.shape)

[x_train, x_test, 
 y_train, y_test] = model_selection.train_test_split(samples, labels, 
                                                     train_size=0.6)
Loading from:  /Users/jorgetil/Astro/TL-GANs/data/synthetic/sine_nsamples28000_seqlength50_nbands1_nsig1_timespan4_SNR40_f0narrow.npy
Samples shape:  (7000, 50, 2)
In [ ]:
for l_rate in [0.001, 0.005, 0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.]:
    # Build our GAN netowrk
    print('########## Learning Rate: %f ##########' % (l_rate))
    n_units = 64
    adam = get_optimizer(l_rate)
    generator = get_generator(adam, n_units, latent_dim,
                              n_obs, n_feat, dropout=G_dropout)
    discriminator = get_discriminator(adam, n_units, n_obs,
                                      n_feat, dropout=D_dropout, 
                                      D_output=D_output)
    print('generator')
    print(generator.summary())
    print('discriminator')
    print(discriminator.summary())
    gan = get_gan_network(discriminator, latent_dim, gen_lc_len, generator, adam)
    print('GAN')
    print(gan.summary())

    test_noise = get_noise(n_examples, latent_dim=latent_dim)

    # logger = TensorBoard(log_dir='%s/logs/%s_%s/run_%s/' % 
    #                      (main_path, model_name, data_name,
    #                       datetime.datetime.now().strftime("%y%m%d_%I%M")),
    #                      histogram_freq=0, write_graph=False, write_images=True)
    # logger.set_model(gan)
    loss_G, loss_D = [], []

    for e in range(1, n_epochs+1):
        print('-'*15, 'Epoch %d' % e, '-'*15)
        for n_batch in tnrange(batch_count, desc='# batch'):

            # Get a random set of input noise and real LC's
            real_lc = x_train[n_batch*batch_size: (n_batch+1)*batch_size]
            real_lc_y = np.random.uniform(.8, 1., size=batch_size)
            # real_lc_y = np.ones(batch_size)

            # Generate fake LC's
            noise = get_noise(batch_size, latent_dim=latent_dim)
            gen_lc = generator.predict(noise)
            gen_lc_y = np.random.uniform(0., .2, size=batch_size)
            # gen_lc_y = np.zeros(batch_size)

            # Train discriminator on real
            discriminator.trainable = True
            d_loss_real, d_acc_real = discriminator.train_on_batch(real_lc, real_lc_y)

            # Train discriminator on generated
            discriminator.trainable = True
            d_loss_gen, d_acc_gen = discriminator.train_on_batch(gen_lc, gen_lc_y)

            d_loss = d_loss_real + d_loss_gen
            d_acc = (d_acc_real + d_acc_gen)/2

            # Train generator
            noise = get_noise(batch_size, latent_dim=latent_dim)
            y_gen = np.random.uniform(0.8, 1., size=batch_size)
            # y_gen = np.ones(batch_size)
            discriminator.trainable = False
            g_loss = gan.train_on_batch(noise, y_gen)
            
            loss_G.append([(e-1) * batch_count + n_batch ,g_loss])
            loss_D.append([(e-1) * batch_count + n_batch ,d_loss])

            # if n_batch % 10 == 0:
            #     write_log_scalar(logger, ['G_loss', 'D_loss', 'D_acc'],
            #                      [g_loss, d_loss, d_acc],
            #                      (e-1) * batch_count + n_batch)

        print("%d [D loss: %f, acc: %.0f%%] [G loss: %f]" %
              (e, d_loss, d_acc*100, g_loss))
        if d_loss == 0:
            print('Failiure mode...')
            break

        if e == 1 or e % viz_interval == 0:
            lc_test = generator.predict(get_noise(n_examples, latent_dim=latent_dim))
            img_buf = plot_generated_time_series(e, lc_test,
                                                 test_lc=x_test[np.random.randint(0,len(x_test),8)])

            # generator.save('%s/experiments/params/%s_%s_G_%i.hdf5' %
            #               (main_path, model_name, data_name, e))
            # discriminator.save('%s/experiments/params/%s_%s_D_%i.hdf5' %
            #                   (main_path, model_name, data_name, e))

            # write_log_plot(logger, img_buf, (e-1) * batch_count + n_batch)
    
    loss_G = np.array(loss_G)
    loss_D = np.array(loss_D)
    plt.plot(loss_G[:,0], loss_G[:,1], '.-b', label='G')
    plt.plot(loss_D[:,0], loss_D[:,1], '.-r', label='D')
    plt.xlabel('batch iter')
    plt.ylabel('Loss')
    plt.legend(loc='best')
    plt.show()
########## Learning Rate: 0.001000 ##########
generator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_72 (LSTM)               (None, 50, 64)            17920     
_________________________________________________________________
dropout_69 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_46 (TimeDis (None, 50, 2)             130       
=================================================================
Total params: 18,050
Trainable params: 18,050
Non-trainable params: 0
_________________________________________________________________
None
discriminator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_73 (LSTM)               (None, 50, 64)            17152     
_________________________________________________________________
dropout_70 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_47 (TimeDis (None, 50, 1)             65        
_________________________________________________________________
average_pooling1d_25 (Averag (None, 1, 1)              0         
_________________________________________________________________
flatten_25 (Flatten)         (None, 1)                 0         
=================================================================
Total params: 17,217
Trainable params: 17,217
Non-trainable params: 0
_________________________________________________________________
None
GAN
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
input_25 (InputLayer)        (None, 50, 5)             0         
_________________________________________________________________
sequential_49 (Sequential)   (None, 50, 2)             18050     
_________________________________________________________________
sequential_50 (Sequential)   (None, 1)                 17217     
=================================================================
Total params: 35,267
Trainable params: 18,050
Non-trainable params: 17,217
_________________________________________________________________
None
--------------- Epoch 1 ---------------
1 [D loss: 15.977077, acc: 0%] [G loss: 1.340266]
--------------- Epoch 2 ---------------
2 [D loss: 15.572557, acc: 0%] [G loss: 1.460891]
--------------- Epoch 3 ---------------
3 [D loss: 15.676692, acc: 0%] [G loss: 1.707406]
--------------- Epoch 4 ---------------
4 [D loss: 16.312990, acc: 0%] [G loss: 1.182987]
--------------- Epoch 5 ---------------
5 [D loss: 15.626747, acc: 0%] [G loss: 1.646837]
--------------- Epoch 6 ---------------
6 [D loss: 16.105742, acc: 0%] [G loss: 1.567815]
--------------- Epoch 7 ---------------
7 [D loss: 15.761062, acc: 0%] [G loss: 1.423837]
--------------- Epoch 8 ---------------
8 [D loss: 15.888830, acc: 0%] [G loss: 1.592941]
--------------- Epoch 9 ---------------
9 [D loss: 15.912059, acc: 0%] [G loss: 1.227986]
--------------- Epoch 10 ---------------
10 [D loss: 15.838511, acc: 0%] [G loss: 1.337615]
--------------- Epoch 11 ---------------
11 [D loss: 16.050287, acc: 0%] [G loss: 1.550196]
--------------- Epoch 12 ---------------
12 [D loss: 15.253217, acc: 0%] [G loss: 1.587883]
--------------- Epoch 13 ---------------
13 [D loss: 16.125629, acc: 0%] [G loss: 1.425083]
--------------- Epoch 14 ---------------
14 [D loss: 16.468643, acc: 0%] [G loss: 1.386624]
--------------- Epoch 15 ---------------
15 [D loss: 16.624897, acc: 0%] [G loss: 1.449707]
--------------- Epoch 16 ---------------
16 [D loss: 16.440811, acc: 0%] [G loss: 1.417088]
--------------- Epoch 17 ---------------
17 [D loss: 15.529232, acc: 0%] [G loss: 1.953670]
--------------- Epoch 18 ---------------
18 [D loss: 16.210175, acc: 0%] [G loss: 1.625691]
--------------- Epoch 19 ---------------
19 [D loss: 16.139099, acc: 0%] [G loss: 1.923135]
--------------- Epoch 20 ---------------
20 [D loss: 16.079174, acc: 0%] [G loss: 1.427617]
--------------- Epoch 21 ---------------
21 [D loss: 16.160885, acc: 0%] [G loss: 1.393102]
--------------- Epoch 22 ---------------
22 [D loss: 15.927671, acc: 0%] [G loss: 1.596399]
--------------- Epoch 23 ---------------
23 [D loss: 15.762464, acc: 0%] [G loss: 1.856650]
--------------- Epoch 24 ---------------
24 [D loss: 15.949425, acc: 0%] [G loss: 1.652362]
--------------- Epoch 25 ---------------
25 [D loss: 16.065779, acc: 0%] [G loss: 1.688557]
--------------- Epoch 26 ---------------
26 [D loss: 15.889846, acc: 0%] [G loss: 1.788592]
--------------- Epoch 27 ---------------
27 [D loss: 15.806964, acc: 0%] [G loss: 1.601118]
--------------- Epoch 28 ---------------
28 [D loss: 16.384666, acc: 0%] [G loss: 1.739266]
--------------- Epoch 29 ---------------
29 [D loss: 15.972187, acc: 0%] [G loss: 1.652770]
--------------- Epoch 30 ---------------
30 [D loss: 15.650583, acc: 0%] [G loss: 1.715925]
--------------- Epoch 31 ---------------
31 [D loss: 15.796511, acc: 0%] [G loss: 1.392732]
--------------- Epoch 32 ---------------
32 [D loss: 15.885106, acc: 0%] [G loss: 1.760979]
--------------- Epoch 33 ---------------
33 [D loss: 15.968858, acc: 0%] [G loss: 1.502676]
--------------- Epoch 34 ---------------
34 [D loss: 16.076523, acc: 0%] [G loss: 1.413549]
--------------- Epoch 35 ---------------
35 [D loss: 16.316437, acc: 0%] [G loss: 1.768221]
--------------- Epoch 36 ---------------
36 [D loss: 16.299440, acc: 0%] [G loss: 1.654205]
--------------- Epoch 37 ---------------
37 [D loss: 15.730754, acc: 0%] [G loss: 1.530908]
--------------- Epoch 38 ---------------
38 [D loss: 15.862566, acc: 0%] [G loss: 1.356405]
--------------- Epoch 39 ---------------
39 [D loss: 15.634994, acc: 0%] [G loss: 1.554767]
--------------- Epoch 40 ---------------
40 [D loss: 15.751168, acc: 0%] [G loss: 1.659168]
--------------- Epoch 41 ---------------
41 [D loss: 16.134809, acc: 0%] [G loss: 1.407818]
--------------- Epoch 42 ---------------
42 [D loss: 15.782304, acc: 0%] [G loss: 1.605161]
--------------- Epoch 43 ---------------
43 [D loss: 16.015240, acc: 0%] [G loss: 1.460530]
--------------- Epoch 44 ---------------
44 [D loss: 16.005690, acc: 0%] [G loss: 1.565614]
--------------- Epoch 45 ---------------
45 [D loss: 16.030247, acc: 0%] [G loss: 1.549726]
--------------- Epoch 46 ---------------
46 [D loss: 15.792219, acc: 0%] [G loss: 1.638621]
--------------- Epoch 47 ---------------
47 [D loss: 16.409391, acc: 0%] [G loss: 1.601836]
--------------- Epoch 48 ---------------
48 [D loss: 16.121231, acc: 0%] [G loss: 1.571186]
--------------- Epoch 49 ---------------
49 [D loss: 15.644615, acc: 0%] [G loss: 1.485218]
--------------- Epoch 50 ---------------
50 [D loss: 15.978494, acc: 0%] [G loss: 1.513750]
--------------- Epoch 51 ---------------
51 [D loss: 15.723302, acc: 0%] [G loss: 1.532375]
--------------- Epoch 52 ---------------
52 [D loss: 15.975976, acc: 0%] [G loss: 1.711977]
--------------- Epoch 53 ---------------
53 [D loss: 15.855315, acc: 0%] [G loss: 1.676652]
--------------- Epoch 54 ---------------
54 [D loss: 15.632578, acc: 0%] [G loss: 1.627312]
--------------- Epoch 55 ---------------
55 [D loss: 16.145483, acc: 0%] [G loss: 1.780327]
--------------- Epoch 56 ---------------
56 [D loss: 15.606703, acc: 0%] [G loss: 1.623066]
--------------- Epoch 57 ---------------
57 [D loss: 15.762352, acc: 0%] [G loss: 1.364851]
--------------- Epoch 58 ---------------
58 [D loss: 15.949704, acc: 0%] [G loss: 1.762677]
--------------- Epoch 59 ---------------
59 [D loss: 15.882928, acc: 0%] [G loss: 1.289719]
--------------- Epoch 60 ---------------
60 [D loss: 15.969838, acc: 0%] [G loss: 1.756568]
--------------- Epoch 61 ---------------
61 [D loss: 16.328020, acc: 0%] [G loss: 1.342111]
--------------- Epoch 62 ---------------
62 [D loss: 15.883936, acc: 0%] [G loss: 1.495887]
--------------- Epoch 63 ---------------
63 [D loss: 15.918816, acc: 0%] [G loss: 1.615396]
--------------- Epoch 64 ---------------
64 [D loss: 15.309851, acc: 0%] [G loss: 1.482058]
--------------- Epoch 65 ---------------
65 [D loss: 15.516484, acc: 0%] [G loss: 1.575002]
--------------- Epoch 66 ---------------
66 [D loss: 16.017244, acc: 0%] [G loss: 1.838216]
--------------- Epoch 67 ---------------
67 [D loss: 15.855626, acc: 0%] [G loss: 1.339141]
--------------- Epoch 68 ---------------
68 [D loss: 16.394073, acc: 0%] [G loss: 1.609764]
--------------- Epoch 69 ---------------
69 [D loss: 15.631059, acc: 0%] [G loss: 1.490610]
--------------- Epoch 70 ---------------
70 [D loss: 15.971418, acc: 0%] [G loss: 1.436747]
--------------- Epoch 71 ---------------
71 [D loss: 15.979345, acc: 0%] [G loss: 1.888177]
--------------- Epoch 72 ---------------
72 [D loss: 15.827548, acc: 0%] [G loss: 1.601968]
--------------- Epoch 73 ---------------
73 [D loss: 15.926193, acc: 0%] [G loss: 1.530348]
--------------- Epoch 74 ---------------
74 [D loss: 15.684538, acc: 0%] [G loss: 1.799195]
--------------- Epoch 75 ---------------
75 [D loss: 16.147707, acc: 0%] [G loss: 1.601057]
--------------- Epoch 76 ---------------
76 [D loss: 15.581732, acc: 0%] [G loss: 1.840383]
--------------- Epoch 77 ---------------
77 [D loss: 16.016361, acc: 0%] [G loss: 1.740919]
--------------- Epoch 78 ---------------
78 [D loss: 16.198471, acc: 0%] [G loss: 1.971606]
--------------- Epoch 79 ---------------
79 [D loss: 15.928992, acc: 0%] [G loss: 1.319584]
--------------- Epoch 80 ---------------
80 [D loss: 16.262589, acc: 0%] [G loss: 1.567487]
--------------- Epoch 81 ---------------
81 [D loss: 15.895313, acc: 0%] [G loss: 1.447231]
--------------- Epoch 82 ---------------
82 [D loss: 15.846321, acc: 0%] [G loss: 1.388388]
--------------- Epoch 83 ---------------
83 [D loss: 15.754854, acc: 0%] [G loss: 1.688758]
--------------- Epoch 84 ---------------
84 [D loss: 15.274203, acc: 0%] [G loss: 1.809282]
--------------- Epoch 85 ---------------
85 [D loss: 16.034391, acc: 0%] [G loss: 1.518313]
--------------- Epoch 86 ---------------
86 [D loss: 16.136461, acc: 0%] [G loss: 1.830252]
--------------- Epoch 87 ---------------
87 [D loss: 16.309338, acc: 0%] [G loss: 1.817227]
--------------- Epoch 88 ---------------
88 [D loss: 16.009684, acc: 0%] [G loss: 1.748876]
--------------- Epoch 89 ---------------
89 [D loss: 15.675627, acc: 0%] [G loss: 1.387220]
--------------- Epoch 90 ---------------
90 [D loss: 16.125504, acc: 0%] [G loss: 1.723687]
--------------- Epoch 91 ---------------
91 [D loss: 15.733063, acc: 0%] [G loss: 1.280336]
--------------- Epoch 92 ---------------
92 [D loss: 15.760624, acc: 0%] [G loss: 1.758399]
--------------- Epoch 93 ---------------
93 [D loss: 16.058115, acc: 0%] [G loss: 1.472446]
--------------- Epoch 94 ---------------
94 [D loss: 15.942136, acc: 0%] [G loss: 1.586030]
--------------- Epoch 95 ---------------
95 [D loss: 15.864723, acc: 0%] [G loss: 1.769415]
--------------- Epoch 96 ---------------
96 [D loss: 15.847868, acc: 0%] [G loss: 1.517955]
--------------- Epoch 97 ---------------
97 [D loss: 15.910494, acc: 0%] [G loss: 1.523372]
--------------- Epoch 98 ---------------
98 [D loss: 15.705414, acc: 0%] [G loss: 1.844308]
--------------- Epoch 99 ---------------
99 [D loss: 16.049515, acc: 0%] [G loss: 1.541475]
--------------- Epoch 100 ---------------
100 [D loss: 16.069628, acc: 0%] [G loss: 1.690131]
--------------- Epoch 101 ---------------
101 [D loss: 15.883171, acc: 0%] [G loss: 1.342186]
--------------- Epoch 102 ---------------
102 [D loss: 15.492093, acc: 0%] [G loss: 1.471153]
--------------- Epoch 103 ---------------
103 [D loss: 16.393913, acc: 0%] [G loss: 1.690694]
--------------- Epoch 104 ---------------
104 [D loss: 15.790483, acc: 0%] [G loss: 1.511891]
--------------- Epoch 105 ---------------
105 [D loss: 16.354986, acc: 0%] [G loss: 1.180007]
--------------- Epoch 106 ---------------
106 [D loss: 15.991779, acc: 0%] [G loss: 1.611094]
--------------- Epoch 107 ---------------
107 [D loss: 15.893956, acc: 0%] [G loss: 1.270539]
--------------- Epoch 108 ---------------
108 [D loss: 15.852360, acc: 0%] [G loss: 1.762381]
--------------- Epoch 109 ---------------
109 [D loss: 15.640847, acc: 0%] [G loss: 1.622620]
--------------- Epoch 110 ---------------
110 [D loss: 15.756131, acc: 0%] [G loss: 1.002457]
--------------- Epoch 111 ---------------
111 [D loss: 15.889614, acc: 0%] [G loss: 1.486737]
--------------- Epoch 112 ---------------
112 [D loss: 16.086481, acc: 0%] [G loss: 1.581102]
--------------- Epoch 113 ---------------
113 [D loss: 16.044876, acc: 0%] [G loss: 1.505788]
--------------- Epoch 114 ---------------
114 [D loss: 15.878010, acc: 0%] [G loss: 1.438634]
--------------- Epoch 115 ---------------
115 [D loss: 16.102606, acc: 0%] [G loss: 1.777458]
--------------- Epoch 116 ---------------
116 [D loss: 15.957999, acc: 0%] [G loss: 1.852827]
--------------- Epoch 117 ---------------
117 [D loss: 16.442190, acc: 0%] [G loss: 1.661042]
--------------- Epoch 118 ---------------
118 [D loss: 16.020079, acc: 0%] [G loss: 1.400368]
--------------- Epoch 119 ---------------
119 [D loss: 15.916762, acc: 0%] [G loss: 1.329277]
--------------- Epoch 120 ---------------
120 [D loss: 15.662415, acc: 0%] [G loss: 1.732984]
--------------- Epoch 121 ---------------
121 [D loss: 15.973684, acc: 0%] [G loss: 1.725620]
--------------- Epoch 122 ---------------
122 [D loss: 15.852102, acc: 0%] [G loss: 1.508641]
--------------- Epoch 123 ---------------
123 [D loss: 15.839790, acc: 0%] [G loss: 1.543908]
--------------- Epoch 124 ---------------
124 [D loss: 15.882051, acc: 0%] [G loss: 1.742330]
--------------- Epoch 125 ---------------
125 [D loss: 15.987524, acc: 0%] [G loss: 1.916058]
--------------- Epoch 126 ---------------
126 [D loss: 15.791806, acc: 0%] [G loss: 1.521178]
--------------- Epoch 127 ---------------
127 [D loss: 15.552460, acc: 0%] [G loss: 1.436728]
--------------- Epoch 128 ---------------
128 [D loss: 15.977628, acc: 0%] [G loss: 1.783150]
--------------- Epoch 129 ---------------
129 [D loss: 15.837834, acc: 0%] [G loss: 1.593636]
--------------- Epoch 130 ---------------
130 [D loss: 15.678581, acc: 0%] [G loss: 1.632955]
--------------- Epoch 131 ---------------
131 [D loss: 15.533680, acc: 0%] [G loss: 1.668984]
--------------- Epoch 132 ---------------
132 [D loss: 16.391998, acc: 0%] [G loss: 1.793129]
--------------- Epoch 133 ---------------
133 [D loss: 16.029020, acc: 0%] [G loss: 1.753177]
--------------- Epoch 134 ---------------
134 [D loss: 15.735946, acc: 0%] [G loss: 1.555098]
--------------- Epoch 135 ---------------
135 [D loss: 15.897777, acc: 0%] [G loss: 1.609290]
--------------- Epoch 136 ---------------
136 [D loss: 16.247120, acc: 0%] [G loss: 1.936277]
--------------- Epoch 137 ---------------
137 [D loss: 16.182360, acc: 0%] [G loss: 1.622068]
--------------- Epoch 138 ---------------
138 [D loss: 15.576440, acc: 0%] [G loss: 1.893143]
--------------- Epoch 139 ---------------
139 [D loss: 15.446743, acc: 0%] [G loss: 1.456847]
--------------- Epoch 140 ---------------
140 [D loss: 15.784524, acc: 0%] [G loss: 1.659750]
--------------- Epoch 141 ---------------
141 [D loss: 16.026596, acc: 0%] [G loss: 1.664076]
--------------- Epoch 142 ---------------
142 [D loss: 15.981503, acc: 0%] [G loss: 1.534383]
--------------- Epoch 143 ---------------
143 [D loss: 15.933039, acc: 0%] [G loss: 1.672260]
--------------- Epoch 144 ---------------
144 [D loss: 16.512203, acc: 0%] [G loss: 1.715382]
--------------- Epoch 145 ---------------
145 [D loss: 15.773288, acc: 0%] [G loss: 1.559314]
--------------- Epoch 146 ---------------
146 [D loss: 15.885278, acc: 0%] [G loss: 1.727970]
--------------- Epoch 147 ---------------
147 [D loss: 15.845209, acc: 0%] [G loss: 1.574876]
--------------- Epoch 148 ---------------
148 [D loss: 15.639065, acc: 0%] [G loss: 1.615551]
--------------- Epoch 149 ---------------
149 [D loss: 16.307188, acc: 0%] [G loss: 1.569486]
--------------- Epoch 150 ---------------
150 [D loss: 15.758035, acc: 0%] [G loss: 1.790473]
--------------- Epoch 151 ---------------
151 [D loss: 15.858186, acc: 0%] [G loss: 1.731283]
--------------- Epoch 152 ---------------
152 [D loss: 15.838978, acc: 0%] [G loss: 2.050695]
--------------- Epoch 153 ---------------
153 [D loss: 15.912202, acc: 0%] [G loss: 1.559551]
--------------- Epoch 154 ---------------
154 [D loss: 16.208321, acc: 0%] [G loss: 1.702347]
--------------- Epoch 155 ---------------
155 [D loss: 15.620667, acc: 0%] [G loss: 1.541277]
--------------- Epoch 156 ---------------
156 [D loss: 15.542491, acc: 0%] [G loss: 1.589028]
--------------- Epoch 157 ---------------
157 [D loss: 15.903929, acc: 0%] [G loss: 1.395935]
--------------- Epoch 158 ---------------
158 [D loss: 16.155348, acc: 0%] [G loss: 1.834146]
--------------- Epoch 159 ---------------
159 [D loss: 15.933233, acc: 0%] [G loss: 1.914961]
--------------- Epoch 160 ---------------
160 [D loss: 16.097229, acc: 0%] [G loss: 1.336360]
--------------- Epoch 161 ---------------
161 [D loss: 15.945848, acc: 0%] [G loss: 1.803708]
--------------- Epoch 162 ---------------
162 [D loss: 16.035574, acc: 0%] [G loss: 1.296817]
--------------- Epoch 163 ---------------
163 [D loss: 15.944347, acc: 0%] [G loss: 1.885476]
--------------- Epoch 164 ---------------
164 [D loss: 15.929461, acc: 0%] [G loss: 1.767287]
--------------- Epoch 165 ---------------
165 [D loss: 16.004095, acc: 0%] [G loss: 1.730093]
--------------- Epoch 166 ---------------
166 [D loss: 15.916080, acc: 0%] [G loss: 1.616178]
--------------- Epoch 167 ---------------
167 [D loss: 15.994820, acc: 0%] [G loss: 1.356453]
--------------- Epoch 168 ---------------
168 [D loss: 15.904066, acc: 0%] [G loss: 1.280978]
--------------- Epoch 169 ---------------
169 [D loss: 15.724233, acc: 0%] [G loss: 1.572463]
--------------- Epoch 170 ---------------
170 [D loss: 16.335932, acc: 0%] [G loss: 1.547038]
--------------- Epoch 171 ---------------
171 [D loss: 15.774991, acc: 0%] [G loss: 1.958585]
--------------- Epoch 172 ---------------
172 [D loss: 16.297016, acc: 0%] [G loss: 1.603248]
--------------- Epoch 173 ---------------
173 [D loss: 16.098873, acc: 0%] [G loss: 1.596413]
--------------- Epoch 174 ---------------
174 [D loss: 15.843349, acc: 0%] [G loss: 1.522325]
--------------- Epoch 175 ---------------
175 [D loss: 16.556519, acc: 0%] [G loss: 1.664523]
--------------- Epoch 176 ---------------
176 [D loss: 15.835133, acc: 0%] [G loss: 1.508058]
--------------- Epoch 177 ---------------
177 [D loss: 15.381280, acc: 0%] [G loss: 1.588522]
--------------- Epoch 178 ---------------
178 [D loss: 15.727591, acc: 0%] [G loss: 1.754766]
--------------- Epoch 179 ---------------
179 [D loss: 16.101194, acc: 0%] [G loss: 1.940509]
--------------- Epoch 180 ---------------
180 [D loss: 16.084835, acc: 0%] [G loss: 1.537235]
--------------- Epoch 181 ---------------
181 [D loss: 16.036009, acc: 0%] [G loss: 1.457311]
--------------- Epoch 182 ---------------
182 [D loss: 16.264217, acc: 0%] [G loss: 1.899043]
--------------- Epoch 183 ---------------
183 [D loss: 15.954066, acc: 0%] [G loss: 1.681636]
--------------- Epoch 184 ---------------
184 [D loss: 15.795079, acc: 0%] [G loss: 1.203077]
--------------- Epoch 185 ---------------
185 [D loss: 15.966971, acc: 0%] [G loss: 1.496461]
--------------- Epoch 186 ---------------
186 [D loss: 15.929486, acc: 0%] [G loss: 1.499897]
--------------- Epoch 187 ---------------
187 [D loss: 16.022673, acc: 0%] [G loss: 2.038157]
--------------- Epoch 188 ---------------
188 [D loss: 15.693931, acc: 0%] [G loss: 1.372723]
--------------- Epoch 189 ---------------
189 [D loss: 16.178652, acc: 0%] [G loss: 0.998931]
--------------- Epoch 190 ---------------
190 [D loss: 15.794632, acc: 0%] [G loss: 1.719918]
--------------- Epoch 191 ---------------
191 [D loss: 16.112066, acc: 0%] [G loss: 1.490788]
--------------- Epoch 192 ---------------
192 [D loss: 15.916872, acc: 0%] [G loss: 1.681496]
--------------- Epoch 193 ---------------
193 [D loss: 15.714613, acc: 0%] [G loss: 1.555998]
--------------- Epoch 194 ---------------
194 [D loss: 16.111816, acc: 0%] [G loss: 1.764975]
--------------- Epoch 195 ---------------
195 [D loss: 15.852209, acc: 0%] [G loss: 1.553788]
--------------- Epoch 196 ---------------
196 [D loss: 15.417136, acc: 0%] [G loss: 1.480260]
--------------- Epoch 197 ---------------
197 [D loss: 15.899057, acc: 0%] [G loss: 1.585342]
--------------- Epoch 198 ---------------
198 [D loss: 15.820717, acc: 0%] [G loss: 1.627650]
--------------- Epoch 199 ---------------
199 [D loss: 16.019958, acc: 0%] [G loss: 1.598921]
--------------- Epoch 200 ---------------
200 [D loss: 16.072964, acc: 0%] [G loss: 1.656782]
########## Learning Rate: 0.005000 ##########
generator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_74 (LSTM)               (None, 50, 64)            17920     
_________________________________________________________________
dropout_71 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_48 (TimeDis (None, 50, 2)             130       
=================================================================
Total params: 18,050
Trainable params: 18,050
Non-trainable params: 0
_________________________________________________________________
None
discriminator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_75 (LSTM)               (None, 50, 64)            17152     
_________________________________________________________________
dropout_72 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_49 (TimeDis (None, 50, 1)             65        
_________________________________________________________________
average_pooling1d_26 (Averag (None, 1, 1)              0         
_________________________________________________________________
flatten_26 (Flatten)         (None, 1)                 0         
=================================================================
Total params: 17,217
Trainable params: 17,217
Non-trainable params: 0
_________________________________________________________________
None
GAN
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
input_26 (InputLayer)        (None, 50, 5)             0         
_________________________________________________________________
sequential_51 (Sequential)   (None, 50, 2)             18050     
_________________________________________________________________
sequential_52 (Sequential)   (None, 1)                 17217     
=================================================================
Total params: 35,267
Trainable params: 18,050
Non-trainable params: 17,217
_________________________________________________________________
None
--------------- Epoch 1 ---------------
1 [D loss: 15.836415, acc: 0%] [G loss: 1.576325]
--------------- Epoch 2 ---------------
2 [D loss: 16.189636, acc: 0%] [G loss: 1.336979]
--------------- Epoch 3 ---------------
3 [D loss: 15.978288, acc: 0%] [G loss: 1.770562]
--------------- Epoch 4 ---------------
4 [D loss: 15.970192, acc: 0%] [G loss: 1.515346]
--------------- Epoch 5 ---------------
5 [D loss: 16.166191, acc: 0%] [G loss: 1.469451]
--------------- Epoch 6 ---------------
6 [D loss: 15.927482, acc: 0%] [G loss: 1.390422]
--------------- Epoch 7 ---------------
7 [D loss: 15.747354, acc: 0%] [G loss: 1.747080]
--------------- Epoch 8 ---------------
8 [D loss: 15.776712, acc: 0%] [G loss: 1.694163]
--------------- Epoch 9 ---------------
9 [D loss: 16.163855, acc: 0%] [G loss: 1.140785]
--------------- Epoch 10 ---------------
10 [D loss: 16.290670, acc: 0%] [G loss: 2.069678]
--------------- Epoch 11 ---------------
11 [D loss: 15.770950, acc: 0%] [G loss: 1.711114]
--------------- Epoch 12 ---------------
12 [D loss: 15.803396, acc: 0%] [G loss: 1.684757]
--------------- Epoch 13 ---------------
13 [D loss: 16.059439, acc: 0%] [G loss: 1.343886]
--------------- Epoch 14 ---------------
14 [D loss: 15.699820, acc: 0%] [G loss: 1.466357]
--------------- Epoch 15 ---------------
15 [D loss: 16.145906, acc: 0%] [G loss: 1.377904]
--------------- Epoch 16 ---------------
16 [D loss: 16.190893, acc: 0%] [G loss: 1.569314]
--------------- Epoch 17 ---------------
17 [D loss: 15.732431, acc: 0%] [G loss: 1.570071]
--------------- Epoch 18 ---------------
18 [D loss: 16.169191, acc: 0%] [G loss: 1.260298]
--------------- Epoch 19 ---------------
19 [D loss: 16.105885, acc: 0%] [G loss: 1.227067]
--------------- Epoch 20 ---------------
20 [D loss: 15.871493, acc: 0%] [G loss: 1.559122]
--------------- Epoch 21 ---------------
21 [D loss: 16.597181, acc: 0%] [G loss: 1.594668]
--------------- Epoch 22 ---------------
22 [D loss: 16.047129, acc: 0%] [G loss: 1.566686]
--------------- Epoch 23 ---------------
23 [D loss: 15.934955, acc: 0%] [G loss: 1.696482]
--------------- Epoch 24 ---------------
24 [D loss: 15.803391, acc: 0%] [G loss: 1.496753]
--------------- Epoch 25 ---------------
25 [D loss: 15.863173, acc: 0%] [G loss: 1.257338]
--------------- Epoch 26 ---------------
26 [D loss: 15.584816, acc: 0%] [G loss: 1.479531]
--------------- Epoch 27 ---------------
27 [D loss: 16.214973, acc: 0%] [G loss: 1.468649]
--------------- Epoch 28 ---------------
28 [D loss: 16.324568, acc: 0%] [G loss: 1.405535]
--------------- Epoch 29 ---------------
29 [D loss: 15.787009, acc: 0%] [G loss: 1.675165]
--------------- Epoch 30 ---------------
30 [D loss: 16.391293, acc: 0%] [G loss: 1.555964]
--------------- Epoch 31 ---------------
31 [D loss: 15.970482, acc: 0%] [G loss: 1.514571]
--------------- Epoch 32 ---------------
32 [D loss: 16.491692, acc: 0%] [G loss: 1.871676]
--------------- Epoch 33 ---------------
33 [D loss: 16.077780, acc: 0%] [G loss: 1.435925]
--------------- Epoch 34 ---------------
34 [D loss: 15.978674, acc: 0%] [G loss: 1.509025]
--------------- Epoch 35 ---------------
35 [D loss: 15.559316, acc: 0%] [G loss: 1.411136]
--------------- Epoch 36 ---------------
36 [D loss: 15.922173, acc: 0%] [G loss: 1.693870]
--------------- Epoch 37 ---------------
37 [D loss: 15.863960, acc: 0%] [G loss: 1.563200]
--------------- Epoch 38 ---------------
38 [D loss: 15.694368, acc: 0%] [G loss: 1.679617]
--------------- Epoch 39 ---------------
39 [D loss: 15.967558, acc: 0%] [G loss: 1.769288]
--------------- Epoch 40 ---------------
40 [D loss: 16.261236, acc: 0%] [G loss: 1.644317]
--------------- Epoch 41 ---------------
41 [D loss: 16.203556, acc: 0%] [G loss: 1.582323]
--------------- Epoch 42 ---------------
42 [D loss: 15.903481, acc: 0%] [G loss: 1.760397]
--------------- Epoch 43 ---------------
43 [D loss: 15.801018, acc: 0%] [G loss: 1.656154]
--------------- Epoch 44 ---------------
44 [D loss: 15.929210, acc: 0%] [G loss: 1.572445]
--------------- Epoch 45 ---------------
45 [D loss: 15.890203, acc: 0%] [G loss: 1.679138]
--------------- Epoch 46 ---------------
46 [D loss: 15.214814, acc: 0%] [G loss: 1.475700]
--------------- Epoch 47 ---------------
47 [D loss: 15.968707, acc: 0%] [G loss: 1.772655]
--------------- Epoch 48 ---------------
48 [D loss: 16.024305, acc: 0%] [G loss: 1.621031]
--------------- Epoch 49 ---------------
49 [D loss: 15.854743, acc: 0%] [G loss: 1.551549]
--------------- Epoch 50 ---------------
50 [D loss: 15.971199, acc: 0%] [G loss: 1.633188]
--------------- Epoch 51 ---------------
51 [D loss: 16.574656, acc: 0%] [G loss: 1.515144]
--------------- Epoch 52 ---------------
52 [D loss: 15.701515, acc: 0%] [G loss: 1.569096]
--------------- Epoch 53 ---------------
53 [D loss: 15.655431, acc: 0%] [G loss: 1.766145]
--------------- Epoch 54 ---------------
54 [D loss: 16.063988, acc: 0%] [G loss: 1.646725]
--------------- Epoch 55 ---------------
55 [D loss: 15.163363, acc: 0%] [G loss: 1.741922]
--------------- Epoch 56 ---------------
56 [D loss: 16.403339, acc: 0%] [G loss: 1.961476]
--------------- Epoch 57 ---------------
57 [D loss: 16.197149, acc: 0%] [G loss: 1.562904]
--------------- Epoch 58 ---------------
58 [D loss: 15.912695, acc: 0%] [G loss: 1.358552]
--------------- Epoch 59 ---------------
59 [D loss: 16.016014, acc: 0%] [G loss: 1.638446]
--------------- Epoch 60 ---------------
60 [D loss: 15.755807, acc: 0%] [G loss: 1.802826]
--------------- Epoch 61 ---------------
61 [D loss: 16.020746, acc: 0%] [G loss: 1.527158]
--------------- Epoch 62 ---------------
62 [D loss: 15.790381, acc: 0%] [G loss: 1.420573]
--------------- Epoch 63 ---------------
63 [D loss: 16.089552, acc: 0%] [G loss: 1.845879]
--------------- Epoch 64 ---------------
64 [D loss: 15.713680, acc: 0%] [G loss: 1.649086]
--------------- Epoch 65 ---------------
65 [D loss: 16.460184, acc: 0%] [G loss: 1.761146]
--------------- Epoch 66 ---------------
66 [D loss: 15.979671, acc: 0%] [G loss: 1.713772]
--------------- Epoch 67 ---------------
67 [D loss: 16.296179, acc: 0%] [G loss: 1.799517]
--------------- Epoch 68 ---------------
68 [D loss: 16.423985, acc: 0%] [G loss: 1.742584]
--------------- Epoch 69 ---------------
69 [D loss: 15.768043, acc: 0%] [G loss: 1.706454]
--------------- Epoch 70 ---------------
70 [D loss: 15.814737, acc: 0%] [G loss: 1.633295]
--------------- Epoch 71 ---------------
71 [D loss: 15.982479, acc: 0%] [G loss: 1.554703]
--------------- Epoch 72 ---------------
72 [D loss: 16.056894, acc: 0%] [G loss: 1.723485]
--------------- Epoch 73 ---------------
73 [D loss: 15.843201, acc: 0%] [G loss: 1.284366]
--------------- Epoch 74 ---------------
74 [D loss: 16.143515, acc: 0%] [G loss: 1.671332]
--------------- Epoch 75 ---------------
75 [D loss: 15.682389, acc: 0%] [G loss: 1.584467]
--------------- Epoch 76 ---------------
76 [D loss: 15.903939, acc: 0%] [G loss: 1.905960]
--------------- Epoch 77 ---------------
77 [D loss: 15.947677, acc: 0%] [G loss: 1.704999]
--------------- Epoch 78 ---------------
78 [D loss: 16.401138, acc: 0%] [G loss: 1.706825]
--------------- Epoch 79 ---------------
79 [D loss: 15.806805, acc: 0%] [G loss: 1.522292]
--------------- Epoch 80 ---------------
80 [D loss: 16.438807, acc: 0%] [G loss: 1.856485]
--------------- Epoch 81 ---------------
81 [D loss: 16.199259, acc: 0%] [G loss: 1.517826]
--------------- Epoch 82 ---------------
82 [D loss: 15.936711, acc: 0%] [G loss: 1.280797]
--------------- Epoch 83 ---------------
83 [D loss: 15.227966, acc: 0%] [G loss: 1.469968]
--------------- Epoch 84 ---------------
84 [D loss: 15.875514, acc: 0%] [G loss: 1.442056]
--------------- Epoch 85 ---------------
85 [D loss: 15.958190, acc: 0%] [G loss: 1.195760]
--------------- Epoch 86 ---------------
86 [D loss: 15.490979, acc: 0%] [G loss: 1.348019]
--------------- Epoch 87 ---------------
87 [D loss: 15.273426, acc: 0%] [G loss: 1.791931]
--------------- Epoch 88 ---------------
88 [D loss: 15.968624, acc: 0%] [G loss: 1.659578]
--------------- Epoch 89 ---------------
89 [D loss: 15.708446, acc: 0%] [G loss: 1.638454]
--------------- Epoch 90 ---------------
90 [D loss: 16.035721, acc: 0%] [G loss: 1.740330]
--------------- Epoch 91 ---------------
91 [D loss: 16.480652, acc: 0%] [G loss: 1.579035]
--------------- Epoch 92 ---------------
92 [D loss: 15.815359, acc: 0%] [G loss: 1.389005]
--------------- Epoch 93 ---------------
93 [D loss: 15.443266, acc: 0%] [G loss: 1.685193]
--------------- Epoch 94 ---------------
94 [D loss: 16.141670, acc: 0%] [G loss: 1.508825]
--------------- Epoch 95 ---------------
95 [D loss: 16.237459, acc: 0%] [G loss: 1.465247]
--------------- Epoch 96 ---------------
96 [D loss: 15.675032, acc: 0%] [G loss: 1.703836]
--------------- Epoch 97 ---------------
97 [D loss: 15.734972, acc: 0%] [G loss: 1.490383]
--------------- Epoch 98 ---------------
98 [D loss: 16.183310, acc: 0%] [G loss: 1.309807]
--------------- Epoch 99 ---------------
99 [D loss: 15.320189, acc: 0%] [G loss: 1.701474]
--------------- Epoch 100 ---------------
100 [D loss: 15.936738, acc: 0%] [G loss: 1.616885]
--------------- Epoch 101 ---------------
101 [D loss: 15.799623, acc: 0%] [G loss: 1.397153]
--------------- Epoch 102 ---------------
102 [D loss: 15.959019, acc: 0%] [G loss: 1.675049]
--------------- Epoch 103 ---------------
103 [D loss: 16.006723, acc: 0%] [G loss: 1.512807]
--------------- Epoch 104 ---------------
104 [D loss: 16.177975, acc: 0%] [G loss: 1.538110]
--------------- Epoch 105 ---------------
105 [D loss: 15.810048, acc: 0%] [G loss: 1.663465]
--------------- Epoch 106 ---------------
106 [D loss: 15.724483, acc: 0%] [G loss: 1.894765]
--------------- Epoch 107 ---------------
107 [D loss: 16.233273, acc: 0%] [G loss: 1.844514]
--------------- Epoch 108 ---------------
108 [D loss: 16.360476, acc: 0%] [G loss: 1.659413]
--------------- Epoch 109 ---------------
109 [D loss: 15.559867, acc: 0%] [G loss: 1.462126]
--------------- Epoch 110 ---------------
110 [D loss: 15.782457, acc: 0%] [G loss: 1.603373]
--------------- Epoch 111 ---------------
111 [D loss: 16.212688, acc: 0%] [G loss: 1.583494]
--------------- Epoch 112 ---------------
112 [D loss: 16.377979, acc: 0%] [G loss: 1.510129]
--------------- Epoch 113 ---------------
113 [D loss: 16.563927, acc: 0%] [G loss: 1.677584]
--------------- Epoch 114 ---------------
114 [D loss: 16.176559, acc: 0%] [G loss: 1.464700]
--------------- Epoch 115 ---------------
115 [D loss: 16.057209, acc: 0%] [G loss: 1.549663]
--------------- Epoch 116 ---------------
116 [D loss: 15.804203, acc: 0%] [G loss: 1.481525]
--------------- Epoch 117 ---------------
117 [D loss: 16.094944, acc: 0%] [G loss: 1.622023]
--------------- Epoch 118 ---------------
118 [D loss: 15.662312, acc: 0%] [G loss: 1.585959]
--------------- Epoch 119 ---------------
119 [D loss: 16.236486, acc: 0%] [G loss: 1.500999]
--------------- Epoch 120 ---------------
120 [D loss: 15.799496, acc: 0%] [G loss: 1.676865]
--------------- Epoch 121 ---------------
121 [D loss: 15.781117, acc: 0%] [G loss: 1.715195]
--------------- Epoch 122 ---------------
122 [D loss: 16.223667, acc: 0%] [G loss: 1.602432]
--------------- Epoch 123 ---------------
123 [D loss: 15.638239, acc: 0%] [G loss: 1.897374]
--------------- Epoch 124 ---------------
124 [D loss: 15.696275, acc: 0%] [G loss: 1.599805]
--------------- Epoch 125 ---------------
125 [D loss: 15.533458, acc: 0%] [G loss: 1.508692]
--------------- Epoch 126 ---------------
126 [D loss: 15.336708, acc: 0%] [G loss: 1.328639]
--------------- Epoch 127 ---------------
127 [D loss: 15.940325, acc: 0%] [G loss: 1.588068]
--------------- Epoch 128 ---------------
128 [D loss: 15.745345, acc: 0%] [G loss: 1.566836]
--------------- Epoch 129 ---------------
129 [D loss: 15.905225, acc: 0%] [G loss: 1.468591]
--------------- Epoch 130 ---------------
130 [D loss: 15.863496, acc: 0%] [G loss: 1.317813]
--------------- Epoch 131 ---------------
131 [D loss: 15.934468, acc: 0%] [G loss: 1.695196]
--------------- Epoch 132 ---------------
132 [D loss: 15.969451, acc: 0%] [G loss: 1.557505]
--------------- Epoch 133 ---------------
133 [D loss: 16.135073, acc: 0%] [G loss: 1.384371]
--------------- Epoch 134 ---------------
134 [D loss: 16.472206, acc: 0%] [G loss: 1.308986]
--------------- Epoch 135 ---------------
135 [D loss: 16.197504, acc: 0%] [G loss: 1.496392]
--------------- Epoch 136 ---------------
136 [D loss: 16.040958, acc: 0%] [G loss: 1.871918]
--------------- Epoch 137 ---------------
137 [D loss: 15.705646, acc: 0%] [G loss: 1.556754]
--------------- Epoch 138 ---------------
138 [D loss: 15.853986, acc: 0%] [G loss: 1.865921]
--------------- Epoch 139 ---------------
139 [D loss: 16.204880, acc: 0%] [G loss: 1.604070]
--------------- Epoch 140 ---------------
140 [D loss: 16.090162, acc: 0%] [G loss: 1.625033]
--------------- Epoch 141 ---------------
141 [D loss: 15.334144, acc: 0%] [G loss: 1.784951]
--------------- Epoch 142 ---------------
142 [D loss: 16.183823, acc: 0%] [G loss: 1.555812]
--------------- Epoch 143 ---------------
143 [D loss: 15.915890, acc: 0%] [G loss: 1.428727]
--------------- Epoch 144 ---------------
144 [D loss: 15.898937, acc: 0%] [G loss: 1.070528]
--------------- Epoch 145 ---------------
145 [D loss: 15.796498, acc: 0%] [G loss: 1.728357]
--------------- Epoch 146 ---------------
146 [D loss: 15.849057, acc: 0%] [G loss: 1.812908]
--------------- Epoch 147 ---------------
147 [D loss: 15.859261, acc: 0%] [G loss: 1.725698]
--------------- Epoch 148 ---------------
148 [D loss: 15.771029, acc: 0%] [G loss: 1.538980]
--------------- Epoch 149 ---------------
149 [D loss: 15.783375, acc: 0%] [G loss: 1.575999]
--------------- Epoch 150 ---------------
150 [D loss: 16.112963, acc: 0%] [G loss: 1.685655]
--------------- Epoch 151 ---------------
151 [D loss: 15.797955, acc: 0%] [G loss: 1.904573]
--------------- Epoch 152 ---------------
152 [D loss: 15.656623, acc: 0%] [G loss: 1.770764]
--------------- Epoch 153 ---------------
153 [D loss: 16.250683, acc: 0%] [G loss: 1.759900]
--------------- Epoch 154 ---------------
154 [D loss: 16.133148, acc: 0%] [G loss: 1.575011]
--------------- Epoch 155 ---------------
155 [D loss: 15.691579, acc: 0%] [G loss: 1.521737]
--------------- Epoch 156 ---------------
156 [D loss: 15.803578, acc: 0%] [G loss: 1.535319]
--------------- Epoch 157 ---------------
157 [D loss: 15.843192, acc: 0%] [G loss: 1.430562]
--------------- Epoch 158 ---------------
158 [D loss: 16.384260, acc: 0%] [G loss: 1.322422]
--------------- Epoch 159 ---------------
159 [D loss: 16.011217, acc: 0%] [G loss: 1.619134]
--------------- Epoch 160 ---------------
160 [D loss: 16.030809, acc: 0%] [G loss: 1.435717]
--------------- Epoch 161 ---------------
161 [D loss: 16.227499, acc: 0%] [G loss: 1.449354]
--------------- Epoch 162 ---------------
162 [D loss: 16.059868, acc: 0%] [G loss: 1.628679]
--------------- Epoch 163 ---------------
163 [D loss: 15.621243, acc: 0%] [G loss: 1.456305]
--------------- Epoch 164 ---------------
164 [D loss: 15.744218, acc: 0%] [G loss: 1.474742]
--------------- Epoch 165 ---------------
165 [D loss: 15.917016, acc: 0%] [G loss: 1.612768]
--------------- Epoch 166 ---------------
166 [D loss: 16.396645, acc: 0%] [G loss: 1.439136]
--------------- Epoch 167 ---------------
167 [D loss: 15.469700, acc: 0%] [G loss: 1.959269]
--------------- Epoch 168 ---------------
168 [D loss: 15.710607, acc: 0%] [G loss: 1.497144]
--------------- Epoch 169 ---------------
169 [D loss: 15.521669, acc: 0%] [G loss: 1.511018]
--------------- Epoch 170 ---------------
170 [D loss: 15.929353, acc: 0%] [G loss: 1.663273]
--------------- Epoch 171 ---------------
171 [D loss: 15.926499, acc: 0%] [G loss: 1.716279]
--------------- Epoch 172 ---------------
172 [D loss: 15.905835, acc: 0%] [G loss: 1.342622]
--------------- Epoch 173 ---------------
173 [D loss: 15.802940, acc: 0%] [G loss: 1.586194]
--------------- Epoch 174 ---------------
174 [D loss: 15.892438, acc: 0%] [G loss: 1.422486]
--------------- Epoch 175 ---------------
175 [D loss: 16.146872, acc: 0%] [G loss: 1.283873]
--------------- Epoch 176 ---------------
176 [D loss: 16.038744, acc: 0%] [G loss: 1.695831]
--------------- Epoch 177 ---------------
177 [D loss: 15.995268, acc: 0%] [G loss: 1.525288]
--------------- Epoch 178 ---------------
178 [D loss: 16.302139, acc: 0%] [G loss: 1.640818]
--------------- Epoch 179 ---------------
179 [D loss: 15.885797, acc: 0%] [G loss: 1.253932]
--------------- Epoch 180 ---------------
180 [D loss: 15.855478, acc: 0%] [G loss: 1.483068]
--------------- Epoch 181 ---------------
181 [D loss: 16.315283, acc: 0%] [G loss: 1.859040]
--------------- Epoch 182 ---------------
182 [D loss: 15.940505, acc: 0%] [G loss: 1.600695]
--------------- Epoch 183 ---------------
183 [D loss: 16.516760, acc: 0%] [G loss: 1.843175]
--------------- Epoch 184 ---------------
184 [D loss: 15.412503, acc: 0%] [G loss: 1.482631]
--------------- Epoch 185 ---------------
185 [D loss: 16.151970, acc: 0%] [G loss: 1.629243]
--------------- Epoch 186 ---------------
186 [D loss: 15.978520, acc: 0%] [G loss: 1.475107]
--------------- Epoch 187 ---------------
187 [D loss: 16.188116, acc: 0%] [G loss: 1.604198]
--------------- Epoch 188 ---------------
188 [D loss: 16.256060, acc: 0%] [G loss: 1.647897]
--------------- Epoch 189 ---------------
189 [D loss: 15.835615, acc: 0%] [G loss: 1.367415]
--------------- Epoch 190 ---------------
190 [D loss: 16.182516, acc: 0%] [G loss: 1.630923]
--------------- Epoch 191 ---------------
191 [D loss: 15.992467, acc: 0%] [G loss: 1.716526]
--------------- Epoch 192 ---------------
192 [D loss: 16.343422, acc: 0%] [G loss: 1.622281]
--------------- Epoch 193 ---------------
193 [D loss: 15.998919, acc: 0%] [G loss: 1.492184]
--------------- Epoch 194 ---------------
194 [D loss: 15.950205, acc: 0%] [G loss: 1.663002]
--------------- Epoch 195 ---------------
195 [D loss: 15.383543, acc: 0%] [G loss: 1.551959]
--------------- Epoch 196 ---------------
196 [D loss: 15.839909, acc: 0%] [G loss: 1.574237]
--------------- Epoch 197 ---------------
197 [D loss: 16.147600, acc: 0%] [G loss: 1.542110]
--------------- Epoch 198 ---------------
198 [D loss: 16.112926, acc: 0%] [G loss: 1.452133]
--------------- Epoch 199 ---------------
199 [D loss: 16.187239, acc: 0%] [G loss: 1.486266]
--------------- Epoch 200 ---------------
200 [D loss: 16.205627, acc: 0%] [G loss: 1.396079]
########## Learning Rate: 0.010000 ##########
generator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_76 (LSTM)               (None, 50, 64)            17920     
_________________________________________________________________
dropout_73 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_50 (TimeDis (None, 50, 2)             130       
=================================================================
Total params: 18,050
Trainable params: 18,050
Non-trainable params: 0
_________________________________________________________________
None
discriminator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_77 (LSTM)               (None, 50, 64)            17152     
_________________________________________________________________
dropout_74 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_51 (TimeDis (None, 50, 1)             65        
_________________________________________________________________
average_pooling1d_27 (Averag (None, 1, 1)              0         
_________________________________________________________________
flatten_27 (Flatten)         (None, 1)                 0         
=================================================================
Total params: 17,217
Trainable params: 17,217
Non-trainable params: 0
_________________________________________________________________
None
GAN
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
input_27 (InputLayer)        (None, 50, 5)             0         
_________________________________________________________________
sequential_53 (Sequential)   (None, 50, 2)             18050     
_________________________________________________________________
sequential_54 (Sequential)   (None, 1)                 17217     
=================================================================
Total params: 35,267
Trainable params: 18,050
Non-trainable params: 17,217
_________________________________________________________________
None
--------------- Epoch 1 ---------------
1 [D loss: 15.882141, acc: 0%] [G loss: 1.574992]
--------------- Epoch 2 ---------------
2 [D loss: 15.672981, acc: 0%] [G loss: 1.948944]
--------------- Epoch 3 ---------------
3 [D loss: 15.997638, acc: 0%] [G loss: 1.413246]
--------------- Epoch 4 ---------------
4 [D loss: 15.941704, acc: 0%] [G loss: 1.390655]
--------------- Epoch 5 ---------------
5 [D loss: 16.008574, acc: 0%] [G loss: 1.744819]
--------------- Epoch 6 ---------------
6 [D loss: 16.121939, acc: 0%] [G loss: 1.591212]
--------------- Epoch 7 ---------------
7 [D loss: 16.199005, acc: 0%] [G loss: 1.603203]
--------------- Epoch 8 ---------------
8 [D loss: 16.159250, acc: 0%] [G loss: 1.474507]
--------------- Epoch 9 ---------------
9 [D loss: 16.081720, acc: 0%] [G loss: 1.503542]
--------------- Epoch 10 ---------------
10 [D loss: 15.691272, acc: 0%] [G loss: 1.582375]
--------------- Epoch 11 ---------------
11 [D loss: 16.065754, acc: 0%] [G loss: 1.577885]
--------------- Epoch 12 ---------------
12 [D loss: 15.694739, acc: 0%] [G loss: 1.499206]
--------------- Epoch 13 ---------------
13 [D loss: 16.155807, acc: 0%] [G loss: 1.680513]
--------------- Epoch 14 ---------------
14 [D loss: 15.876576, acc: 0%] [G loss: 1.580698]
--------------- Epoch 15 ---------------
15 [D loss: 15.822647, acc: 0%] [G loss: 1.292918]
--------------- Epoch 16 ---------------
16 [D loss: 15.923873, acc: 0%] [G loss: 1.486797]
--------------- Epoch 17 ---------------
17 [D loss: 15.758335, acc: 0%] [G loss: 1.610804]
--------------- Epoch 18 ---------------
18 [D loss: 15.859207, acc: 0%] [G loss: 1.913962]
--------------- Epoch 19 ---------------
19 [D loss: 15.934575, acc: 0%] [G loss: 1.331494]
--------------- Epoch 20 ---------------
20 [D loss: 15.938440, acc: 0%] [G loss: 1.465083]
--------------- Epoch 21 ---------------
21 [D loss: 15.959682, acc: 0%] [G loss: 1.645021]
--------------- Epoch 22 ---------------
22 [D loss: 16.037682, acc: 0%] [G loss: 1.733908]
--------------- Epoch 23 ---------------
23 [D loss: 15.997396, acc: 0%] [G loss: 1.487482]
--------------- Epoch 24 ---------------
24 [D loss: 16.123274, acc: 0%] [G loss: 1.867965]
--------------- Epoch 25 ---------------
25 [D loss: 15.989865, acc: 0%] [G loss: 1.753978]
--------------- Epoch 26 ---------------
26 [D loss: 16.058779, acc: 0%] [G loss: 1.696777]
--------------- Epoch 27 ---------------
27 [D loss: 15.812189, acc: 0%] [G loss: 1.716904]
--------------- Epoch 28 ---------------
28 [D loss: 15.717608, acc: 0%] [G loss: 1.782079]
--------------- Epoch 29 ---------------
29 [D loss: 16.091091, acc: 0%] [G loss: 1.534085]
--------------- Epoch 30 ---------------
30 [D loss: 15.713810, acc: 0%] [G loss: 1.795642]
--------------- Epoch 31 ---------------
31 [D loss: 15.838598, acc: 0%] [G loss: 1.394579]
--------------- Epoch 32 ---------------
32 [D loss: 15.537599, acc: 0%] [G loss: 1.744015]
--------------- Epoch 33 ---------------
33 [D loss: 15.900715, acc: 0%] [G loss: 1.761195]
--------------- Epoch 34 ---------------
34 [D loss: 15.766593, acc: 0%] [G loss: 1.581046]
--------------- Epoch 35 ---------------
35 [D loss: 15.703265, acc: 0%] [G loss: 1.818234]
--------------- Epoch 36 ---------------
36 [D loss: 15.987750, acc: 0%] [G loss: 1.216136]
--------------- Epoch 37 ---------------
37 [D loss: 16.112509, acc: 0%] [G loss: 1.379760]
--------------- Epoch 38 ---------------
38 [D loss: 16.510658, acc: 0%] [G loss: 1.621532]
--------------- Epoch 39 ---------------
39 [D loss: 16.157448, acc: 0%] [G loss: 1.479667]
--------------- Epoch 40 ---------------
40 [D loss: 15.794665, acc: 0%] [G loss: 1.333727]
--------------- Epoch 41 ---------------
41 [D loss: 15.887348, acc: 0%] [G loss: 1.654564]
--------------- Epoch 42 ---------------
42 [D loss: 15.964234, acc: 0%] [G loss: 1.939424]
--------------- Epoch 43 ---------------
43 [D loss: 16.018032, acc: 0%] [G loss: 1.598321]
--------------- Epoch 44 ---------------
44 [D loss: 16.036160, acc: 0%] [G loss: 1.409817]
--------------- Epoch 45 ---------------
45 [D loss: 15.955276, acc: 0%] [G loss: 1.686058]
--------------- Epoch 46 ---------------
46 [D loss: 16.336029, acc: 0%] [G loss: 1.680883]
--------------- Epoch 47 ---------------
47 [D loss: 16.494516, acc: 0%] [G loss: 1.750452]
--------------- Epoch 48 ---------------
48 [D loss: 16.139130, acc: 0%] [G loss: 1.589828]
--------------- Epoch 49 ---------------
49 [D loss: 16.064581, acc: 0%] [G loss: 1.786997]
--------------- Epoch 50 ---------------
50 [D loss: 15.836734, acc: 0%] [G loss: 1.751320]
--------------- Epoch 51 ---------------
51 [D loss: 15.886267, acc: 0%] [G loss: 1.495897]
--------------- Epoch 52 ---------------
52 [D loss: 16.598125, acc: 0%] [G loss: 1.446917]
--------------- Epoch 53 ---------------
53 [D loss: 15.982174, acc: 0%] [G loss: 1.526325]
--------------- Epoch 54 ---------------
54 [D loss: 15.866010, acc: 0%] [G loss: 1.351677]
--------------- Epoch 55 ---------------
55 [D loss: 15.891929, acc: 0%] [G loss: 1.671488]
--------------- Epoch 56 ---------------
56 [D loss: 15.758507, acc: 0%] [G loss: 1.457181]
--------------- Epoch 57 ---------------
57 [D loss: 15.681577, acc: 0%] [G loss: 1.877059]
--------------- Epoch 58 ---------------
58 [D loss: 16.035929, acc: 0%] [G loss: 1.454093]
--------------- Epoch 59 ---------------
59 [D loss: 16.061693, acc: 0%] [G loss: 1.507646]
--------------- Epoch 60 ---------------
60 [D loss: 16.219168, acc: 0%] [G loss: 1.461750]
--------------- Epoch 61 ---------------
61 [D loss: 15.904619, acc: 0%] [G loss: 1.622794]
--------------- Epoch 62 ---------------
62 [D loss: 15.814150, acc: 0%] [G loss: 1.643173]
--------------- Epoch 63 ---------------
63 [D loss: 16.124376, acc: 0%] [G loss: 1.953035]
--------------- Epoch 64 ---------------
64 [D loss: 16.043169, acc: 0%] [G loss: 1.777514]
--------------- Epoch 65 ---------------
65 [D loss: 15.696697, acc: 0%] [G loss: 1.476231]
--------------- Epoch 66 ---------------
66 [D loss: 16.253229, acc: 0%] [G loss: 1.507322]
--------------- Epoch 67 ---------------
67 [D loss: 16.218485, acc: 0%] [G loss: 1.540653]
--------------- Epoch 68 ---------------
68 [D loss: 16.312370, acc: 0%] [G loss: 1.808054]
--------------- Epoch 69 ---------------
69 [D loss: 15.402784, acc: 0%] [G loss: 1.702084]
--------------- Epoch 70 ---------------
70 [D loss: 16.268440, acc: 0%] [G loss: 1.589996]
--------------- Epoch 71 ---------------
71 [D loss: 16.476025, acc: 0%] [G loss: 1.655970]
--------------- Epoch 72 ---------------
72 [D loss: 15.960023, acc: 0%] [G loss: 1.736265]
--------------- Epoch 73 ---------------
73 [D loss: 15.412179, acc: 0%] [G loss: 1.383527]
--------------- Epoch 74 ---------------
74 [D loss: 15.779387, acc: 0%] [G loss: 1.620805]
--------------- Epoch 75 ---------------
75 [D loss: 16.400772, acc: 0%] [G loss: 1.845022]
--------------- Epoch 76 ---------------
76 [D loss: 15.918342, acc: 0%] [G loss: 1.610292]
--------------- Epoch 77 ---------------
77 [D loss: 15.738247, acc: 0%] [G loss: 1.641328]
--------------- Epoch 78 ---------------
78 [D loss: 16.115025, acc: 0%] [G loss: 1.830866]
--------------- Epoch 79 ---------------
79 [D loss: 15.493652, acc: 0%] [G loss: 1.485702]
--------------- Epoch 80 ---------------
80 [D loss: 15.652164, acc: 0%] [G loss: 1.494287]
--------------- Epoch 81 ---------------
81 [D loss: 15.540951, acc: 0%] [G loss: 1.381736]
--------------- Epoch 82 ---------------
82 [D loss: 15.910770, acc: 0%] [G loss: 1.801906]
--------------- Epoch 83 ---------------
83 [D loss: 15.891466, acc: 0%] [G loss: 1.280172]
--------------- Epoch 84 ---------------
84 [D loss: 15.663486, acc: 0%] [G loss: 1.425344]
--------------- Epoch 85 ---------------
85 [D loss: 16.102484, acc: 0%] [G loss: 1.901114]
--------------- Epoch 86 ---------------
86 [D loss: 16.178198, acc: 0%] [G loss: 1.434913]
--------------- Epoch 87 ---------------
87 [D loss: 15.970073, acc: 0%] [G loss: 1.592906]
--------------- Epoch 88 ---------------
88 [D loss: 15.991074, acc: 0%] [G loss: 1.273944]
--------------- Epoch 89 ---------------
89 [D loss: 15.974449, acc: 0%] [G loss: 1.613069]
--------------- Epoch 90 ---------------
90 [D loss: 15.883671, acc: 0%] [G loss: 1.627659]
--------------- Epoch 91 ---------------
91 [D loss: 15.592675, acc: 0%] [G loss: 1.731668]
--------------- Epoch 92 ---------------
92 [D loss: 16.093346, acc: 0%] [G loss: 1.535761]
--------------- Epoch 93 ---------------
93 [D loss: 16.484085, acc: 0%] [G loss: 1.635027]
--------------- Epoch 94 ---------------
94 [D loss: 15.720603, acc: 0%] [G loss: 1.700297]
--------------- Epoch 95 ---------------
95 [D loss: 15.596308, acc: 0%] [G loss: 1.461754]
--------------- Epoch 96 ---------------
96 [D loss: 15.741851, acc: 0%] [G loss: 1.640465]
--------------- Epoch 97 ---------------
97 [D loss: 15.865602, acc: 0%] [G loss: 1.554035]
--------------- Epoch 98 ---------------
98 [D loss: 16.136229, acc: 0%] [G loss: 1.185043]
--------------- Epoch 99 ---------------
99 [D loss: 16.200472, acc: 0%] [G loss: 1.455029]
--------------- Epoch 100 ---------------
100 [D loss: 16.314026, acc: 0%] [G loss: 1.703198]
--------------- Epoch 101 ---------------
101 [D loss: 15.822042, acc: 0%] [G loss: 1.558526]
--------------- Epoch 102 ---------------
102 [D loss: 15.528343, acc: 0%] [G loss: 1.401882]
--------------- Epoch 103 ---------------
103 [D loss: 15.811996, acc: 0%] [G loss: 1.819060]
--------------- Epoch 104 ---------------
104 [D loss: 15.934911, acc: 0%] [G loss: 1.423180]
--------------- Epoch 105 ---------------
105 [D loss: 15.659361, acc: 0%] [G loss: 1.593974]
--------------- Epoch 106 ---------------
106 [D loss: 16.267870, acc: 0%] [G loss: 1.835528]
--------------- Epoch 107 ---------------
107 [D loss: 16.008673, acc: 0%] [G loss: 1.254673]
--------------- Epoch 108 ---------------
108 [D loss: 16.100937, acc: 0%] [G loss: 1.317412]
--------------- Epoch 109 ---------------
109 [D loss: 16.277567, acc: 0%] [G loss: 1.377958]
--------------- Epoch 110 ---------------
110 [D loss: 15.829962, acc: 0%] [G loss: 1.573602]
--------------- Epoch 111 ---------------
111 [D loss: 15.967653, acc: 0%] [G loss: 1.788336]
--------------- Epoch 112 ---------------
112 [D loss: 16.521698, acc: 0%] [G loss: 1.537306]
--------------- Epoch 113 ---------------
113 [D loss: 16.131924, acc: 0%] [G loss: 1.637135]
--------------- Epoch 114 ---------------
114 [D loss: 15.666808, acc: 0%] [G loss: 2.012921]
--------------- Epoch 115 ---------------
115 [D loss: 15.966800, acc: 0%] [G loss: 1.504639]
--------------- Epoch 116 ---------------
116 [D loss: 15.814754, acc: 0%] [G loss: 1.421592]
--------------- Epoch 117 ---------------
117 [D loss: 16.253532, acc: 0%] [G loss: 1.792809]
--------------- Epoch 118 ---------------
118 [D loss: 15.472227, acc: 0%] [G loss: 1.767145]
--------------- Epoch 119 ---------------
119 [D loss: 15.964218, acc: 0%] [G loss: 1.599605]
--------------- Epoch 120 ---------------
120 [D loss: 15.594956, acc: 0%] [G loss: 1.537299]
--------------- Epoch 121 ---------------
121 [D loss: 15.779705, acc: 0%] [G loss: 1.844408]
--------------- Epoch 122 ---------------
122 [D loss: 16.111897, acc: 0%] [G loss: 1.424740]
--------------- Epoch 123 ---------------
123 [D loss: 16.363369, acc: 0%] [G loss: 1.621935]
--------------- Epoch 124 ---------------
124 [D loss: 15.914002, acc: 0%] [G loss: 1.659796]
--------------- Epoch 125 ---------------
125 [D loss: 15.914745, acc: 0%] [G loss: 1.543784]
--------------- Epoch 126 ---------------
126 [D loss: 16.101521, acc: 0%] [G loss: 1.675117]
--------------- Epoch 127 ---------------
127 [D loss: 15.470906, acc: 0%] [G loss: 1.425058]
--------------- Epoch 128 ---------------
128 [D loss: 15.931647, acc: 0%] [G loss: 1.476229]
--------------- Epoch 129 ---------------
129 [D loss: 16.145613, acc: 0%] [G loss: 1.583273]
--------------- Epoch 130 ---------------
130 [D loss: 16.178953, acc: 0%] [G loss: 1.696452]
--------------- Epoch 131 ---------------
131 [D loss: 15.678514, acc: 0%] [G loss: 1.589028]
--------------- Epoch 132 ---------------
132 [D loss: 15.491179, acc: 0%] [G loss: 1.511174]
--------------- Epoch 133 ---------------
133 [D loss: 16.004303, acc: 0%] [G loss: 1.517419]
--------------- Epoch 134 ---------------
134 [D loss: 16.396515, acc: 0%] [G loss: 1.546423]
--------------- Epoch 135 ---------------
135 [D loss: 16.206526, acc: 0%] [G loss: 1.444166]
--------------- Epoch 136 ---------------
136 [D loss: 15.497919, acc: 0%] [G loss: 1.553823]
--------------- Epoch 137 ---------------
137 [D loss: 16.207552, acc: 0%] [G loss: 1.650395]
--------------- Epoch 138 ---------------
138 [D loss: 15.594384, acc: 0%] [G loss: 1.579119]
--------------- Epoch 139 ---------------
139 [D loss: 15.854585, acc: 0%] [G loss: 1.718171]
--------------- Epoch 140 ---------------
140 [D loss: 16.084871, acc: 0%] [G loss: 1.632498]
--------------- Epoch 141 ---------------
141 [D loss: 16.136702, acc: 0%] [G loss: 1.645463]
--------------- Epoch 142 ---------------
142 [D loss: 15.994923, acc: 0%] [G loss: 1.430605]
--------------- Epoch 143 ---------------
143 [D loss: 16.158272, acc: 0%] [G loss: 1.581289]
--------------- Epoch 144 ---------------
144 [D loss: 15.797457, acc: 0%] [G loss: 1.180688]
--------------- Epoch 145 ---------------
145 [D loss: 16.146057, acc: 0%] [G loss: 1.781737]
--------------- Epoch 146 ---------------
146 [D loss: 16.216228, acc: 0%] [G loss: 1.107203]
--------------- Epoch 147 ---------------
147 [D loss: 15.479952, acc: 0%] [G loss: 1.448811]
--------------- Epoch 148 ---------------
148 [D loss: 15.746562, acc: 0%] [G loss: 1.621404]
--------------- Epoch 149 ---------------
149 [D loss: 16.589193, acc: 0%] [G loss: 1.687230]
--------------- Epoch 150 ---------------
150 [D loss: 15.796808, acc: 0%] [G loss: 1.690808]
--------------- Epoch 151 ---------------
151 [D loss: 15.814071, acc: 0%] [G loss: 1.739393]
--------------- Epoch 152 ---------------
152 [D loss: 16.408762, acc: 0%] [G loss: 1.517349]
--------------- Epoch 153 ---------------
153 [D loss: 15.529711, acc: 0%] [G loss: 1.484819]
--------------- Epoch 154 ---------------
154 [D loss: 15.723337, acc: 0%] [G loss: 1.574990]
--------------- Epoch 155 ---------------
155 [D loss: 16.254259, acc: 0%] [G loss: 1.626607]
--------------- Epoch 156 ---------------
156 [D loss: 15.761833, acc: 0%] [G loss: 1.486491]
--------------- Epoch 157 ---------------
157 [D loss: 15.975770, acc: 0%] [G loss: 1.475917]
--------------- Epoch 158 ---------------
158 [D loss: 15.768254, acc: 0%] [G loss: 1.587185]
--------------- Epoch 159 ---------------
159 [D loss: 15.897343, acc: 0%] [G loss: 1.453957]
--------------- Epoch 160 ---------------
160 [D loss: 15.730409, acc: 0%] [G loss: 1.401275]
--------------- Epoch 161 ---------------
161 [D loss: 16.122744, acc: 0%] [G loss: 1.546457]
--------------- Epoch 162 ---------------
162 [D loss: 16.100163, acc: 0%] [G loss: 1.180783]
--------------- Epoch 163 ---------------
163 [D loss: 16.414734, acc: 0%] [G loss: 1.587757]
--------------- Epoch 164 ---------------
164 [D loss: 15.595953, acc: 0%] [G loss: 1.432796]
--------------- Epoch 165 ---------------
165 [D loss: 15.954898, acc: 0%] [G loss: 1.849324]
--------------- Epoch 166 ---------------
166 [D loss: 16.044729, acc: 0%] [G loss: 1.487136]
--------------- Epoch 167 ---------------
167 [D loss: 16.102314, acc: 0%] [G loss: 1.755587]
--------------- Epoch 168 ---------------
168 [D loss: 16.016220, acc: 0%] [G loss: 1.429510]
--------------- Epoch 169 ---------------
169 [D loss: 16.200478, acc: 0%] [G loss: 1.435705]
--------------- Epoch 170 ---------------
170 [D loss: 15.588857, acc: 0%] [G loss: 1.632053]
--------------- Epoch 171 ---------------
171 [D loss: 15.836652, acc: 0%] [G loss: 1.790635]
--------------- Epoch 172 ---------------
172 [D loss: 16.116913, acc: 0%] [G loss: 1.632970]
--------------- Epoch 173 ---------------
173 [D loss: 16.354427, acc: 0%] [G loss: 1.386449]
--------------- Epoch 174 ---------------
174 [D loss: 16.244555, acc: 0%] [G loss: 1.434019]
--------------- Epoch 175 ---------------
175 [D loss: 15.905799, acc: 0%] [G loss: 1.715750]
--------------- Epoch 176 ---------------
176 [D loss: 15.703241, acc: 0%] [G loss: 1.736732]
--------------- Epoch 177 ---------------
177 [D loss: 15.622503, acc: 0%] [G loss: 1.584039]
--------------- Epoch 178 ---------------
178 [D loss: 15.716769, acc: 0%] [G loss: 1.301457]
--------------- Epoch 179 ---------------
179 [D loss: 16.470570, acc: 0%] [G loss: 1.639914]
--------------- Epoch 180 ---------------
180 [D loss: 16.023468, acc: 0%] [G loss: 1.366891]
--------------- Epoch 181 ---------------
181 [D loss: 16.077084, acc: 0%] [G loss: 2.116685]
--------------- Epoch 182 ---------------
182 [D loss: 16.455282, acc: 0%] [G loss: 1.651695]
--------------- Epoch 183 ---------------
183 [D loss: 15.802670, acc: 0%] [G loss: 1.849093]
--------------- Epoch 184 ---------------
184 [D loss: 16.223112, acc: 0%] [G loss: 1.472773]
--------------- Epoch 185 ---------------
185 [D loss: 15.788525, acc: 0%] [G loss: 1.630177]
--------------- Epoch 186 ---------------
186 [D loss: 15.460090, acc: 0%] [G loss: 1.784672]
--------------- Epoch 187 ---------------
187 [D loss: 15.288153, acc: 0%] [G loss: 1.483991]
--------------- Epoch 188 ---------------
188 [D loss: 15.897752, acc: 0%] [G loss: 1.582640]
--------------- Epoch 189 ---------------
189 [D loss: 15.792735, acc: 0%] [G loss: 1.337186]
--------------- Epoch 190 ---------------
190 [D loss: 15.760266, acc: 0%] [G loss: 1.468324]
--------------- Epoch 191 ---------------
191 [D loss: 15.678754, acc: 0%] [G loss: 1.657721]
--------------- Epoch 192 ---------------
192 [D loss: 15.948168, acc: 0%] [G loss: 1.168867]
--------------- Epoch 193 ---------------
193 [D loss: 15.926613, acc: 0%] [G loss: 1.668082]
--------------- Epoch 194 ---------------
194 [D loss: 15.886061, acc: 0%] [G loss: 1.505580]
--------------- Epoch 195 ---------------
195 [D loss: 15.944515, acc: 0%] [G loss: 1.709078]
--------------- Epoch 196 ---------------
196 [D loss: 16.240110, acc: 0%] [G loss: 1.615005]
--------------- Epoch 197 ---------------
197 [D loss: 16.529640, acc: 0%] [G loss: 1.595495]
--------------- Epoch 198 ---------------
198 [D loss: 16.080070, acc: 0%] [G loss: 1.673036]
--------------- Epoch 199 ---------------
199 [D loss: 15.867972, acc: 0%] [G loss: 1.306499]
--------------- Epoch 200 ---------------
200 [D loss: 16.078890, acc: 0%] [G loss: 1.428383]
########## Learning Rate: 0.050000 ##########
generator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_78 (LSTM)               (None, 50, 64)            17920     
_________________________________________________________________
dropout_75 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_52 (TimeDis (None, 50, 2)             130       
=================================================================
Total params: 18,050
Trainable params: 18,050
Non-trainable params: 0
_________________________________________________________________
None
discriminator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_79 (LSTM)               (None, 50, 64)            17152     
_________________________________________________________________
dropout_76 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_53 (TimeDis (None, 50, 1)             65        
_________________________________________________________________
average_pooling1d_28 (Averag (None, 1, 1)              0         
_________________________________________________________________
flatten_28 (Flatten)         (None, 1)                 0         
=================================================================
Total params: 17,217
Trainable params: 17,217
Non-trainable params: 0
_________________________________________________________________
None
GAN
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
input_28 (InputLayer)        (None, 50, 5)             0         
_________________________________________________________________
sequential_55 (Sequential)   (None, 50, 2)             18050     
_________________________________________________________________
sequential_56 (Sequential)   (None, 1)                 17217     
=================================================================
Total params: 35,267
Trainable params: 18,050
Non-trainable params: 17,217
_________________________________________________________________
None
--------------- Epoch 1 ---------------
1 [D loss: 16.262892, acc: 0%] [G loss: 1.575942]
--------------- Epoch 2 ---------------
2 [D loss: 15.660984, acc: 0%] [G loss: 1.461245]
--------------- Epoch 3 ---------------
3 [D loss: 15.835484, acc: 0%] [G loss: 1.380787]
--------------- Epoch 4 ---------------
4 [D loss: 15.992049, acc: 0%] [G loss: 1.949830]
--------------- Epoch 5 ---------------
5 [D loss: 15.674377, acc: 0%] [G loss: 1.468127]
--------------- Epoch 6 ---------------
6 [D loss: 15.874784, acc: 0%] [G loss: 1.415856]
--------------- Epoch 7 ---------------
7 [D loss: 16.266460, acc: 0%] [G loss: 1.601066]
--------------- Epoch 8 ---------------
8 [D loss: 16.106382, acc: 0%] [G loss: 1.655395]
--------------- Epoch 9 ---------------
9 [D loss: 15.707730, acc: 0%] [G loss: 1.605526]
--------------- Epoch 10 ---------------
10 [D loss: 16.023123, acc: 0%] [G loss: 1.570829]
--------------- Epoch 11 ---------------
11 [D loss: 16.105356, acc: 0%] [G loss: 1.694974]
--------------- Epoch 12 ---------------
12 [D loss: 15.705494, acc: 0%] [G loss: 1.170977]
--------------- Epoch 13 ---------------
13 [D loss: 16.150307, acc: 0%] [G loss: 1.819610]
--------------- Epoch 14 ---------------
14 [D loss: 15.577310, acc: 0%] [G loss: 1.641676]
--------------- Epoch 15 ---------------
15 [D loss: 16.143475, acc: 0%] [G loss: 1.625195]
--------------- Epoch 16 ---------------
16 [D loss: 15.733646, acc: 0%] [G loss: 1.589240]
--------------- Epoch 17 ---------------
17 [D loss: 16.013647, acc: 0%] [G loss: 1.468505]
--------------- Epoch 18 ---------------
18 [D loss: 16.011463, acc: 0%] [G loss: 1.602515]
--------------- Epoch 19 ---------------
19 [D loss: 16.331179, acc: 0%] [G loss: 1.589915]
--------------- Epoch 20 ---------------
20 [D loss: 16.093008, acc: 0%] [G loss: 1.490119]
--------------- Epoch 21 ---------------
21 [D loss: 16.198875, acc: 0%] [G loss: 1.516351]
--------------- Epoch 22 ---------------
22 [D loss: 16.185354, acc: 0%] [G loss: 1.397767]
--------------- Epoch 23 ---------------
23 [D loss: 16.208521, acc: 0%] [G loss: 1.494573]
--------------- Epoch 24 ---------------
24 [D loss: 15.839048, acc: 0%] [G loss: 1.571679]
--------------- Epoch 25 ---------------
25 [D loss: 15.883676, acc: 0%] [G loss: 1.635146]
--------------- Epoch 26 ---------------
26 [D loss: 15.948053, acc: 0%] [G loss: 1.668586]
--------------- Epoch 27 ---------------
27 [D loss: 16.150219, acc: 0%] [G loss: 1.283669]
--------------- Epoch 28 ---------------
28 [D loss: 15.668054, acc: 0%] [G loss: 1.552155]
--------------- Epoch 29 ---------------
29 [D loss: 16.365969, acc: 0%] [G loss: 1.717039]
--------------- Epoch 30 ---------------
30 [D loss: 16.430195, acc: 0%] [G loss: 1.734229]
--------------- Epoch 31 ---------------
31 [D loss: 15.929334, acc: 0%] [G loss: 1.837511]
--------------- Epoch 32 ---------------
32 [D loss: 15.599897, acc: 0%] [G loss: 1.379069]
--------------- Epoch 33 ---------------
33 [D loss: 15.934077, acc: 0%] [G loss: 1.608299]
--------------- Epoch 34 ---------------
34 [D loss: 16.382832, acc: 0%] [G loss: 1.433359]
--------------- Epoch 35 ---------------
35 [D loss: 15.816713, acc: 0%] [G loss: 1.531837]
--------------- Epoch 36 ---------------
36 [D loss: 15.354133, acc: 0%] [G loss: 1.436621]
--------------- Epoch 37 ---------------
37 [D loss: 15.819205, acc: 0%] [G loss: 1.812300]
--------------- Epoch 38 ---------------
38 [D loss: 16.293833, acc: 0%] [G loss: 1.560804]
--------------- Epoch 39 ---------------
39 [D loss: 16.137962, acc: 0%] [G loss: 1.547777]
--------------- Epoch 40 ---------------
40 [D loss: 15.663315, acc: 0%] [G loss: 1.454038]
--------------- Epoch 41 ---------------
41 [D loss: 15.887485, acc: 0%] [G loss: 1.499795]
--------------- Epoch 42 ---------------
42 [D loss: 16.338556, acc: 0%] [G loss: 1.769148]
--------------- Epoch 43 ---------------
43 [D loss: 16.050238, acc: 0%] [G loss: 1.411986]
--------------- Epoch 44 ---------------
44 [D loss: 15.556282, acc: 0%] [G loss: 1.688597]
--------------- Epoch 45 ---------------
45 [D loss: 16.022717, acc: 0%] [G loss: 1.299353]
--------------- Epoch 46 ---------------
46 [D loss: 15.817590, acc: 0%] [G loss: 1.546973]
--------------- Epoch 47 ---------------
47 [D loss: 16.036722, acc: 0%] [G loss: 1.583334]
--------------- Epoch 48 ---------------
48 [D loss: 15.777034, acc: 0%] [G loss: 1.562810]
--------------- Epoch 49 ---------------
49 [D loss: 16.055059, acc: 0%] [G loss: 1.472119]
--------------- Epoch 50 ---------------
50 [D loss: 15.828557, acc: 0%] [G loss: 1.664586]
--------------- Epoch 51 ---------------
51 [D loss: 16.309977, acc: 0%] [G loss: 1.258768]
--------------- Epoch 52 ---------------
52 [D loss: 16.100296, acc: 0%] [G loss: 1.638855]
--------------- Epoch 53 ---------------
53 [D loss: 15.816969, acc: 0%] [G loss: 1.587643]
--------------- Epoch 54 ---------------
54 [D loss: 15.505631, acc: 0%] [G loss: 1.387797]
--------------- Epoch 55 ---------------
55 [D loss: 15.570160, acc: 0%] [G loss: 1.778841]
--------------- Epoch 56 ---------------
56 [D loss: 15.776635, acc: 0%] [G loss: 1.748122]
--------------- Epoch 57 ---------------
57 [D loss: 15.802331, acc: 0%] [G loss: 1.440907]
--------------- Epoch 58 ---------------
58 [D loss: 16.125778, acc: 0%] [G loss: 1.757733]
--------------- Epoch 59 ---------------
59 [D loss: 16.259508, acc: 0%] [G loss: 1.517225]
--------------- Epoch 60 ---------------
60 [D loss: 16.188374, acc: 0%] [G loss: 1.330036]
--------------- Epoch 61 ---------------
61 [D loss: 15.788641, acc: 0%] [G loss: 1.364374]
--------------- Epoch 62 ---------------
62 [D loss: 16.278738, acc: 0%] [G loss: 1.679777]
--------------- Epoch 63 ---------------
63 [D loss: 16.289913, acc: 0%] [G loss: 1.377583]
--------------- Epoch 64 ---------------
64 [D loss: 15.860414, acc: 0%] [G loss: 1.672758]
--------------- Epoch 65 ---------------
65 [D loss: 15.968089, acc: 0%] [G loss: 1.735289]
--------------- Epoch 66 ---------------
66 [D loss: 16.232838, acc: 0%] [G loss: 1.644682]
--------------- Epoch 67 ---------------
67 [D loss: 15.758541, acc: 0%] [G loss: 1.347632]
--------------- Epoch 68 ---------------
68 [D loss: 15.666720, acc: 0%] [G loss: 1.938928]
--------------- Epoch 69 ---------------
69 [D loss: 15.890058, acc: 0%] [G loss: 1.495703]
--------------- Epoch 70 ---------------
70 [D loss: 16.218399, acc: 0%] [G loss: 1.567100]
--------------- Epoch 71 ---------------
71 [D loss: 15.895626, acc: 0%] [G loss: 1.851314]
--------------- Epoch 72 ---------------
72 [D loss: 15.173543, acc: 0%] [G loss: 1.497237]
--------------- Epoch 73 ---------------
73 [D loss: 15.855222, acc: 0%] [G loss: 1.639339]
--------------- Epoch 74 ---------------
74 [D loss: 15.778557, acc: 0%] [G loss: 1.526615]
--------------- Epoch 75 ---------------
75 [D loss: 15.842565, acc: 0%] [G loss: 1.541474]
--------------- Epoch 76 ---------------
76 [D loss: 16.440418, acc: 0%] [G loss: 1.728796]
--------------- Epoch 77 ---------------
77 [D loss: 15.884793, acc: 0%] [G loss: 1.523706]
--------------- Epoch 78 ---------------
78 [D loss: 15.966671, acc: 0%] [G loss: 1.618255]
--------------- Epoch 79 ---------------
79 [D loss: 15.854050, acc: 0%] [G loss: 1.603326]
--------------- Epoch 80 ---------------
80 [D loss: 16.025133, acc: 0%] [G loss: 1.548586]
--------------- Epoch 81 ---------------
81 [D loss: 15.714865, acc: 0%] [G loss: 1.679620]
--------------- Epoch 82 ---------------
82 [D loss: 15.770440, acc: 0%] [G loss: 1.734331]
--------------- Epoch 83 ---------------
83 [D loss: 16.321140, acc: 0%] [G loss: 1.878578]
--------------- Epoch 84 ---------------
84 [D loss: 15.742593, acc: 0%] [G loss: 1.456282]
--------------- Epoch 85 ---------------
85 [D loss: 16.186714, acc: 0%] [G loss: 1.992217]
--------------- Epoch 86 ---------------
86 [D loss: 15.505777, acc: 0%] [G loss: 1.785097]
--------------- Epoch 87 ---------------
87 [D loss: 15.760737, acc: 0%] [G loss: 1.535902]
--------------- Epoch 88 ---------------
88 [D loss: 16.052147, acc: 0%] [G loss: 1.364101]
--------------- Epoch 89 ---------------
89 [D loss: 15.587031, acc: 0%] [G loss: 1.507830]
--------------- Epoch 90 ---------------
90 [D loss: 15.964970, acc: 0%] [G loss: 1.620345]
--------------- Epoch 91 ---------------
91 [D loss: 16.242157, acc: 0%] [G loss: 1.508137]
--------------- Epoch 92 ---------------
92 [D loss: 15.671682, acc: 0%] [G loss: 1.660368]
--------------- Epoch 93 ---------------
93 [D loss: 15.451756, acc: 0%] [G loss: 1.525708]
--------------- Epoch 94 ---------------
94 [D loss: 16.365871, acc: 0%] [G loss: 1.581381]
--------------- Epoch 95 ---------------
95 [D loss: 15.794610, acc: 0%] [G loss: 1.679239]
--------------- Epoch 96 ---------------
96 [D loss: 15.942535, acc: 0%] [G loss: 1.644328]
--------------- Epoch 97 ---------------
97 [D loss: 16.130638, acc: 0%] [G loss: 1.856870]
--------------- Epoch 98 ---------------
98 [D loss: 15.610835, acc: 0%] [G loss: 1.652289]
--------------- Epoch 99 ---------------
99 [D loss: 15.762597, acc: 0%] [G loss: 1.465405]
--------------- Epoch 100 ---------------
100 [D loss: 16.112949, acc: 0%] [G loss: 1.537670]
--------------- Epoch 101 ---------------
101 [D loss: 16.283201, acc: 0%] [G loss: 1.346592]
--------------- Epoch 102 ---------------
102 [D loss: 16.424858, acc: 0%] [G loss: 1.744151]
--------------- Epoch 103 ---------------
103 [D loss: 16.250656, acc: 0%] [G loss: 1.625109]
--------------- Epoch 104 ---------------
104 [D loss: 16.408606, acc: 0%] [G loss: 1.517756]
--------------- Epoch 105 ---------------
105 [D loss: 15.941416, acc: 0%] [G loss: 1.682058]
--------------- Epoch 106 ---------------
106 [D loss: 16.384535, acc: 0%] [G loss: 1.539157]
--------------- Epoch 107 ---------------
107 [D loss: 15.469297, acc: 0%] [G loss: 1.734506]
--------------- Epoch 108 ---------------
108 [D loss: 15.656009, acc: 0%] [G loss: 1.554415]
--------------- Epoch 109 ---------------
109 [D loss: 15.505318, acc: 0%] [G loss: 1.434734]
--------------- Epoch 110 ---------------
110 [D loss: 15.757516, acc: 0%] [G loss: 1.479256]
--------------- Epoch 111 ---------------
111 [D loss: 15.483697, acc: 0%] [G loss: 1.641706]
--------------- Epoch 112 ---------------
112 [D loss: 16.394566, acc: 0%] [G loss: 1.383061]
--------------- Epoch 113 ---------------
113 [D loss: 16.013350, acc: 0%] [G loss: 1.576723]
--------------- Epoch 114 ---------------
114 [D loss: 15.909796, acc: 0%] [G loss: 1.913230]
--------------- Epoch 115 ---------------
115 [D loss: 15.873216, acc: 0%] [G loss: 1.778533]
--------------- Epoch 116 ---------------
116 [D loss: 15.789923, acc: 0%] [G loss: 1.312866]
--------------- Epoch 117 ---------------
117 [D loss: 15.941672, acc: 0%] [G loss: 1.626242]
--------------- Epoch 118 ---------------
118 [D loss: 15.695024, acc: 0%] [G loss: 1.448423]
--------------- Epoch 119 ---------------
119 [D loss: 16.043257, acc: 0%] [G loss: 1.310685]
--------------- Epoch 120 ---------------
120 [D loss: 15.912579, acc: 0%] [G loss: 1.833181]
--------------- Epoch 121 ---------------
121 [D loss: 16.126942, acc: 0%] [G loss: 1.604434]
--------------- Epoch 122 ---------------
122 [D loss: 16.219069, acc: 0%] [G loss: 1.581949]
--------------- Epoch 123 ---------------
123 [D loss: 16.011503, acc: 0%] [G loss: 1.650067]
--------------- Epoch 124 ---------------
124 [D loss: 15.654173, acc: 0%] [G loss: 1.537537]
--------------- Epoch 125 ---------------
125 [D loss: 16.343758, acc: 0%] [G loss: 1.462038]
--------------- Epoch 126 ---------------
126 [D loss: 15.865608, acc: 0%] [G loss: 1.420036]
--------------- Epoch 127 ---------------
127 [D loss: 16.147785, acc: 0%] [G loss: 1.874870]
--------------- Epoch 128 ---------------
128 [D loss: 15.597905, acc: 0%] [G loss: 1.941714]
--------------- Epoch 129 ---------------
129 [D loss: 15.705973, acc: 0%] [G loss: 1.428557]
--------------- Epoch 130 ---------------
130 [D loss: 15.721742, acc: 0%] [G loss: 1.656165]
--------------- Epoch 131 ---------------
131 [D loss: 16.098370, acc: 0%] [G loss: 1.435247]
--------------- Epoch 132 ---------------
132 [D loss: 15.720040, acc: 0%] [G loss: 1.385603]
--------------- Epoch 133 ---------------
133 [D loss: 15.701360, acc: 0%] [G loss: 1.223366]
--------------- Epoch 134 ---------------
134 [D loss: 15.871257, acc: 0%] [G loss: 1.522652]
--------------- Epoch 135 ---------------
135 [D loss: 16.019884, acc: 0%] [G loss: 1.946752]
--------------- Epoch 136 ---------------
136 [D loss: 16.289112, acc: 0%] [G loss: 1.462466]
--------------- Epoch 137 ---------------
137 [D loss: 16.009285, acc: 0%] [G loss: 1.614407]
--------------- Epoch 138 ---------------
138 [D loss: 15.963940, acc: 0%] [G loss: 1.812925]
--------------- Epoch 139 ---------------
139 [D loss: 16.253883, acc: 0%] [G loss: 1.657270]
--------------- Epoch 140 ---------------
140 [D loss: 16.183500, acc: 0%] [G loss: 1.471915]
--------------- Epoch 141 ---------------
141 [D loss: 15.719538, acc: 0%] [G loss: 1.633698]
--------------- Epoch 142 ---------------
142 [D loss: 15.680012, acc: 0%] [G loss: 1.261937]
--------------- Epoch 143 ---------------
143 [D loss: 15.717016, acc: 0%] [G loss: 1.485124]
--------------- Epoch 144 ---------------
144 [D loss: 15.780636, acc: 0%] [G loss: 1.613465]
--------------- Epoch 145 ---------------
145 [D loss: 15.722367, acc: 0%] [G loss: 1.659233]
--------------- Epoch 146 ---------------
146 [D loss: 16.201693, acc: 0%] [G loss: 1.434374]
--------------- Epoch 147 ---------------
147 [D loss: 16.044331, acc: 0%] [G loss: 1.546648]
--------------- Epoch 148 ---------------
148 [D loss: 16.339457, acc: 0%] [G loss: 1.463615]
--------------- Epoch 149 ---------------
149 [D loss: 15.773345, acc: 0%] [G loss: 1.407457]
--------------- Epoch 150 ---------------
150 [D loss: 16.137304, acc: 0%] [G loss: 1.721132]
--------------- Epoch 151 ---------------
151 [D loss: 15.684804, acc: 0%] [G loss: 1.524772]
--------------- Epoch 152 ---------------
152 [D loss: 15.685318, acc: 0%] [G loss: 1.715922]
--------------- Epoch 153 ---------------
153 [D loss: 16.391035, acc: 0%] [G loss: 1.657656]
--------------- Epoch 154 ---------------
154 [D loss: 15.942607, acc: 0%] [G loss: 1.263965]
--------------- Epoch 155 ---------------
155 [D loss: 15.828821, acc: 0%] [G loss: 1.789961]
--------------- Epoch 156 ---------------
156 [D loss: 16.025600, acc: 0%] [G loss: 1.514671]
--------------- Epoch 157 ---------------
157 [D loss: 15.737663, acc: 0%] [G loss: 1.728850]
--------------- Epoch 158 ---------------
158 [D loss: 16.085871, acc: 0%] [G loss: 1.632635]
--------------- Epoch 159 ---------------
159 [D loss: 15.943778, acc: 0%] [G loss: 1.268355]
--------------- Epoch 160 ---------------
160 [D loss: 16.307089, acc: 0%] [G loss: 1.576500]
--------------- Epoch 161 ---------------
161 [D loss: 15.899022, acc: 0%] [G loss: 1.700527]
--------------- Epoch 162 ---------------
162 [D loss: 16.210066, acc: 0%] [G loss: 1.477002]
--------------- Epoch 163 ---------------
163 [D loss: 15.880382, acc: 0%] [G loss: 1.919654]
--------------- Epoch 164 ---------------
164 [D loss: 15.754074, acc: 0%] [G loss: 1.579196]
--------------- Epoch 165 ---------------
165 [D loss: 15.976279, acc: 0%] [G loss: 1.443583]
--------------- Epoch 166 ---------------
166 [D loss: 15.737220, acc: 0%] [G loss: 1.431024]
--------------- Epoch 167 ---------------
167 [D loss: 15.930636, acc: 0%] [G loss: 1.686277]
--------------- Epoch 168 ---------------
168 [D loss: 16.014870, acc: 0%] [G loss: 1.575595]
--------------- Epoch 169 ---------------
169 [D loss: 16.081177, acc: 0%] [G loss: 1.252623]
--------------- Epoch 170 ---------------
170 [D loss: 16.001347, acc: 0%] [G loss: 1.744143]
--------------- Epoch 171 ---------------
171 [D loss: 16.042507, acc: 0%] [G loss: 1.484010]
--------------- Epoch 172 ---------------
172 [D loss: 16.583998, acc: 0%] [G loss: 1.595021]
--------------- Epoch 173 ---------------
173 [D loss: 16.389141, acc: 0%] [G loss: 1.465171]
--------------- Epoch 174 ---------------
174 [D loss: 15.578793, acc: 0%] [G loss: 1.240828]
--------------- Epoch 175 ---------------
175 [D loss: 15.964700, acc: 0%] [G loss: 1.636117]
--------------- Epoch 176 ---------------
176 [D loss: 15.987298, acc: 0%] [G loss: 1.380694]
--------------- Epoch 177 ---------------
177 [D loss: 15.467658, acc: 0%] [G loss: 1.550515]
--------------- Epoch 178 ---------------
178 [D loss: 16.064537, acc: 0%] [G loss: 1.984529]
--------------- Epoch 179 ---------------
179 [D loss: 16.134878, acc: 0%] [G loss: 1.494525]
--------------- Epoch 180 ---------------
180 [D loss: 15.698843, acc: 0%] [G loss: 1.737789]
--------------- Epoch 181 ---------------
181 [D loss: 16.086767, acc: 0%] [G loss: 1.487123]
--------------- Epoch 182 ---------------
182 [D loss: 15.470675, acc: 0%] [G loss: 1.365870]
--------------- Epoch 183 ---------------
183 [D loss: 16.003210, acc: 0%] [G loss: 1.428511]
--------------- Epoch 184 ---------------
184 [D loss: 15.617253, acc: 0%] [G loss: 1.846161]
--------------- Epoch 185 ---------------
185 [D loss: 15.889117, acc: 0%] [G loss: 1.531611]
--------------- Epoch 186 ---------------
186 [D loss: 15.701767, acc: 0%] [G loss: 1.677494]
--------------- Epoch 187 ---------------
187 [D loss: 16.255899, acc: 0%] [G loss: 1.560671]
--------------- Epoch 188 ---------------
188 [D loss: 15.879042, acc: 0%] [G loss: 1.461986]
--------------- Epoch 189 ---------------
189 [D loss: 16.121042, acc: 0%] [G loss: 1.348939]
--------------- Epoch 190 ---------------
190 [D loss: 16.025953, acc: 0%] [G loss: 1.489488]
--------------- Epoch 191 ---------------
191 [D loss: 15.760929, acc: 0%] [G loss: 1.629554]
--------------- Epoch 192 ---------------
192 [D loss: 15.816241, acc: 0%] [G loss: 1.518396]
--------------- Epoch 193 ---------------
193 [D loss: 16.097906, acc: 0%] [G loss: 1.709863]
--------------- Epoch 194 ---------------
194 [D loss: 15.878671, acc: 0%] [G loss: 1.640302]
--------------- Epoch 195 ---------------
195 [D loss: 15.847618, acc: 0%] [G loss: 1.524967]
--------------- Epoch 196 ---------------
196 [D loss: 15.666264, acc: 0%] [G loss: 1.819910]
--------------- Epoch 197 ---------------
197 [D loss: 15.879324, acc: 0%] [G loss: 1.298083]
--------------- Epoch 198 ---------------
198 [D loss: 16.063000, acc: 0%] [G loss: 1.483275]
--------------- Epoch 199 ---------------
199 [D loss: 15.691626, acc: 0%] [G loss: 1.777135]
--------------- Epoch 200 ---------------
200 [D loss: 16.110312, acc: 0%] [G loss: 1.776896]
########## Learning Rate: 0.100000 ##########
generator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_80 (LSTM)               (None, 50, 64)            17920     
_________________________________________________________________
dropout_77 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_54 (TimeDis (None, 50, 2)             130       
=================================================================
Total params: 18,050
Trainable params: 18,050
Non-trainable params: 0
_________________________________________________________________
None
discriminator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_81 (LSTM)               (None, 50, 64)            17152     
_________________________________________________________________
dropout_78 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_55 (TimeDis (None, 50, 1)             65        
_________________________________________________________________
average_pooling1d_29 (Averag (None, 1, 1)              0         
_________________________________________________________________
flatten_29 (Flatten)         (None, 1)                 0         
=================================================================
Total params: 17,217
Trainable params: 17,217
Non-trainable params: 0
_________________________________________________________________
None
GAN
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
input_29 (InputLayer)        (None, 50, 5)             0         
_________________________________________________________________
sequential_57 (Sequential)   (None, 50, 2)             18050     
_________________________________________________________________
sequential_58 (Sequential)   (None, 1)                 17217     
=================================================================
Total params: 35,267
Trainable params: 18,050
Non-trainable params: 17,217
_________________________________________________________________
None
--------------- Epoch 1 ---------------
1 [D loss: 15.501272, acc: 0%] [G loss: 1.634598]
--------------- Epoch 2 ---------------
2 [D loss: 16.211195, acc: 0%] [G loss: 1.625308]
--------------- Epoch 3 ---------------
3 [D loss: 16.143167, acc: 0%] [G loss: 1.622265]
--------------- Epoch 4 ---------------
4 [D loss: 15.906319, acc: 0%] [G loss: 1.727374]
--------------- Epoch 5 ---------------
5 [D loss: 15.999532, acc: 0%] [G loss: 1.721632]
--------------- Epoch 6 ---------------
6 [D loss: 15.538574, acc: 0%] [G loss: 1.661331]
--------------- Epoch 7 ---------------
7 [D loss: 16.091919, acc: 0%] [G loss: 1.711213]
--------------- Epoch 8 ---------------
8 [D loss: 15.666940, acc: 0%] [G loss: 1.847100]
--------------- Epoch 9 ---------------
9 [D loss: 16.019924, acc: 0%] [G loss: 1.347867]
--------------- Epoch 10 ---------------
10 [D loss: 16.413534, acc: 0%] [G loss: 2.002087]
--------------- Epoch 11 ---------------
11 [D loss: 15.958496, acc: 0%] [G loss: 1.325187]
--------------- Epoch 12 ---------------
12 [D loss: 15.860675, acc: 0%] [G loss: 1.580058]
--------------- Epoch 13 ---------------
13 [D loss: 16.075954, acc: 0%] [G loss: 2.091954]
--------------- Epoch 14 ---------------
14 [D loss: 15.894659, acc: 0%] [G loss: 1.506775]
--------------- Epoch 15 ---------------
15 [D loss: 16.103586, acc: 0%] [G loss: 1.476750]
--------------- Epoch 16 ---------------
16 [D loss: 15.637937, acc: 0%] [G loss: 1.807137]
--------------- Epoch 17 ---------------
17 [D loss: 15.970546, acc: 0%] [G loss: 1.540993]
--------------- Epoch 18 ---------------
18 [D loss: 15.544626, acc: 0%] [G loss: 1.627977]
--------------- Epoch 19 ---------------
19 [D loss: 15.744716, acc: 0%] [G loss: 1.398994]
--------------- Epoch 20 ---------------
20 [D loss: 15.228955, acc: 0%] [G loss: 1.503991]
--------------- Epoch 21 ---------------
21 [D loss: 15.808329, acc: 0%] [G loss: 1.546886]
--------------- Epoch 22 ---------------
22 [D loss: 16.147099, acc: 0%] [G loss: 1.511510]
--------------- Epoch 23 ---------------
23 [D loss: 16.257202, acc: 0%] [G loss: 1.777067]
--------------- Epoch 24 ---------------
24 [D loss: 15.793803, acc: 0%] [G loss: 1.420712]
--------------- Epoch 25 ---------------
25 [D loss: 16.060991, acc: 0%] [G loss: 1.685937]
--------------- Epoch 26 ---------------
26 [D loss: 15.826905, acc: 0%] [G loss: 1.577275]
--------------- Epoch 27 ---------------
27 [D loss: 16.070585, acc: 0%] [G loss: 1.712950]
--------------- Epoch 28 ---------------
28 [D loss: 16.012911, acc: 0%] [G loss: 1.909411]
--------------- Epoch 29 ---------------
29 [D loss: 16.083427, acc: 0%] [G loss: 1.436768]
--------------- Epoch 30 ---------------
30 [D loss: 16.009521, acc: 0%] [G loss: 1.586850]
--------------- Epoch 31 ---------------
31 [D loss: 15.554032, acc: 0%] [G loss: 1.554198]
--------------- Epoch 32 ---------------
32 [D loss: 16.083803, acc: 0%] [G loss: 1.396712]
--------------- Epoch 33 ---------------
33 [D loss: 16.666801, acc: 0%] [G loss: 1.652228]
--------------- Epoch 34 ---------------
34 [D loss: 15.685121, acc: 0%] [G loss: 1.315733]
--------------- Epoch 35 ---------------
35 [D loss: 15.898139, acc: 0%] [G loss: 1.719490]
--------------- Epoch 36 ---------------
36 [D loss: 15.910354, acc: 0%] [G loss: 1.838681]
--------------- Epoch 37 ---------------
37 [D loss: 15.916987, acc: 0%] [G loss: 1.493263]
--------------- Epoch 38 ---------------
38 [D loss: 15.836202, acc: 0%] [G loss: 1.559682]
--------------- Epoch 39 ---------------
39 [D loss: 15.750855, acc: 0%] [G loss: 1.630895]
--------------- Epoch 40 ---------------
40 [D loss: 15.568005, acc: 0%] [G loss: 1.381970]
--------------- Epoch 41 ---------------
41 [D loss: 16.172371, acc: 0%] [G loss: 1.548159]
--------------- Epoch 42 ---------------
42 [D loss: 15.731379, acc: 0%] [G loss: 1.600107]
--------------- Epoch 43 ---------------
43 [D loss: 15.993696, acc: 0%] [G loss: 1.631106]
--------------- Epoch 44 ---------------
44 [D loss: 15.722281, acc: 0%] [G loss: 1.512644]
--------------- Epoch 45 ---------------
45 [D loss: 16.025764, acc: 0%] [G loss: 1.607770]
--------------- Epoch 46 ---------------
46 [D loss: 15.849726, acc: 0%] [G loss: 1.720084]
--------------- Epoch 47 ---------------
47 [D loss: 15.653542, acc: 0%] [G loss: 1.519800]
--------------- Epoch 48 ---------------
48 [D loss: 15.923534, acc: 0%] [G loss: 1.318086]
--------------- Epoch 49 ---------------
49 [D loss: 16.069981, acc: 0%] [G loss: 1.362049]
--------------- Epoch 50 ---------------
50 [D loss: 16.133867, acc: 0%] [G loss: 1.920478]
--------------- Epoch 51 ---------------
51 [D loss: 15.957518, acc: 0%] [G loss: 1.594150]
--------------- Epoch 52 ---------------
52 [D loss: 16.053181, acc: 0%] [G loss: 1.527660]
--------------- Epoch 53 ---------------
53 [D loss: 16.107811, acc: 0%] [G loss: 1.445388]
--------------- Epoch 54 ---------------
54 [D loss: 15.932098, acc: 0%] [G loss: 1.592058]
--------------- Epoch 55 ---------------
55 [D loss: 15.583600, acc: 0%] [G loss: 1.657847]
--------------- Epoch 56 ---------------
56 [D loss: 16.150965, acc: 0%] [G loss: 1.811239]
--------------- Epoch 57 ---------------
57 [D loss: 16.238268, acc: 0%] [G loss: 1.517195]
--------------- Epoch 58 ---------------
58 [D loss: 16.093245, acc: 0%] [G loss: 1.571049]
--------------- Epoch 59 ---------------
59 [D loss: 16.008167, acc: 0%] [G loss: 1.509233]
--------------- Epoch 60 ---------------
60 [D loss: 15.917571, acc: 0%] [G loss: 1.479015]
--------------- Epoch 61 ---------------
61 [D loss: 15.677732, acc: 0%] [G loss: 1.657313]
--------------- Epoch 62 ---------------
62 [D loss: 15.792380, acc: 0%] [G loss: 1.447693]
--------------- Epoch 63 ---------------
63 [D loss: 16.355053, acc: 0%] [G loss: 1.867584]
--------------- Epoch 64 ---------------
64 [D loss: 15.433987, acc: 0%] [G loss: 1.570675]
--------------- Epoch 65 ---------------
65 [D loss: 15.934818, acc: 0%] [G loss: 1.606742]
--------------- Epoch 66 ---------------
66 [D loss: 15.412281, acc: 0%] [G loss: 1.399338]
--------------- Epoch 67 ---------------
67 [D loss: 15.437767, acc: 0%] [G loss: 1.429108]
--------------- Epoch 68 ---------------
68 [D loss: 16.228003, acc: 0%] [G loss: 1.424203]
--------------- Epoch 69 ---------------
69 [D loss: 15.630847, acc: 0%] [G loss: 1.523739]
--------------- Epoch 70 ---------------
70 [D loss: 15.774795, acc: 0%] [G loss: 1.756182]
--------------- Epoch 71 ---------------
71 [D loss: 15.634098, acc: 0%] [G loss: 1.516239]
--------------- Epoch 72 ---------------
72 [D loss: 15.744599, acc: 0%] [G loss: 1.648934]
--------------- Epoch 73 ---------------
73 [D loss: 15.733816, acc: 0%] [G loss: 1.482494]
--------------- Epoch 74 ---------------
74 [D loss: 16.285288, acc: 0%] [G loss: 1.389717]
--------------- Epoch 75 ---------------
75 [D loss: 16.032452, acc: 0%] [G loss: 1.954326]
--------------- Epoch 76 ---------------
76 [D loss: 15.355299, acc: 0%] [G loss: 1.771211]
--------------- Epoch 77 ---------------
77 [D loss: 16.176689, acc: 0%] [G loss: 1.546189]
--------------- Epoch 78 ---------------
78 [D loss: 15.899333, acc: 0%] [G loss: 1.696411]
--------------- Epoch 79 ---------------
79 [D loss: 15.883475, acc: 0%] [G loss: 1.852242]
--------------- Epoch 80 ---------------
80 [D loss: 15.735415, acc: 0%] [G loss: 1.682799]
--------------- Epoch 81 ---------------
81 [D loss: 15.935936, acc: 0%] [G loss: 1.665924]
--------------- Epoch 82 ---------------
82 [D loss: 15.821556, acc: 0%] [G loss: 1.622927]
--------------- Epoch 83 ---------------
83 [D loss: 16.146267, acc: 0%] [G loss: 1.726117]
--------------- Epoch 84 ---------------
84 [D loss: 15.917248, acc: 0%] [G loss: 1.438823]
--------------- Epoch 85 ---------------
85 [D loss: 16.194118, acc: 0%] [G loss: 1.376262]
--------------- Epoch 86 ---------------
86 [D loss: 15.817901, acc: 0%] [G loss: 1.456627]
--------------- Epoch 87 ---------------
87 [D loss: 15.965951, acc: 0%] [G loss: 1.887779]
--------------- Epoch 88 ---------------
88 [D loss: 16.096794, acc: 0%] [G loss: 1.677168]
--------------- Epoch 89 ---------------
89 [D loss: 15.867640, acc: 0%] [G loss: 1.885479]
--------------- Epoch 90 ---------------
90 [D loss: 16.408484, acc: 0%] [G loss: 1.237674]
--------------- Epoch 91 ---------------
91 [D loss: 15.729489, acc: 0%] [G loss: 1.337851]
--------------- Epoch 92 ---------------
92 [D loss: 16.025177, acc: 0%] [G loss: 1.358240]
--------------- Epoch 93 ---------------
93 [D loss: 15.806688, acc: 0%] [G loss: 1.447808]
--------------- Epoch 94 ---------------
94 [D loss: 16.364325, acc: 0%] [G loss: 1.648332]
--------------- Epoch 95 ---------------
95 [D loss: 15.636742, acc: 0%] [G loss: 1.704545]
--------------- Epoch 96 ---------------
96 [D loss: 15.779630, acc: 0%] [G loss: 1.795749]
--------------- Epoch 97 ---------------
97 [D loss: 16.071087, acc: 0%] [G loss: 1.584138]
--------------- Epoch 98 ---------------
98 [D loss: 15.891829, acc: 0%] [G loss: 1.620310]
--------------- Epoch 99 ---------------
99 [D loss: 16.078629, acc: 0%] [G loss: 1.465805]
--------------- Epoch 100 ---------------
100 [D loss: 15.790504, acc: 0%] [G loss: 1.527732]
--------------- Epoch 101 ---------------
101 [D loss: 16.019451, acc: 0%] [G loss: 1.707936]
--------------- Epoch 102 ---------------
102 [D loss: 15.757069, acc: 0%] [G loss: 1.772387]
--------------- Epoch 103 ---------------
103 [D loss: 16.420624, acc: 0%] [G loss: 1.416700]
--------------- Epoch 104 ---------------
104 [D loss: 15.850432, acc: 0%] [G loss: 1.711859]
--------------- Epoch 105 ---------------
105 [D loss: 16.196281, acc: 0%] [G loss: 1.322005]
--------------- Epoch 106 ---------------
106 [D loss: 15.764578, acc: 0%] [G loss: 1.697981]
--------------- Epoch 107 ---------------
107 [D loss: 16.184128, acc: 0%] [G loss: 1.421042]
--------------- Epoch 108 ---------------
108 [D loss: 15.652253, acc: 0%] [G loss: 1.554268]
--------------- Epoch 109 ---------------
109 [D loss: 15.843847, acc: 0%] [G loss: 1.258368]
--------------- Epoch 110 ---------------
110 [D loss: 16.028931, acc: 0%] [G loss: 1.682983]
--------------- Epoch 111 ---------------
111 [D loss: 15.947989, acc: 0%] [G loss: 1.297225]
--------------- Epoch 112 ---------------
112 [D loss: 15.673153, acc: 0%] [G loss: 1.595089]
--------------- Epoch 113 ---------------
113 [D loss: 16.015388, acc: 0%] [G loss: 1.723459]
--------------- Epoch 114 ---------------
114 [D loss: 15.822940, acc: 0%] [G loss: 1.633371]
--------------- Epoch 115 ---------------
115 [D loss: 15.960247, acc: 0%] [G loss: 1.796798]
--------------- Epoch 116 ---------------
116 [D loss: 16.158768, acc: 0%] [G loss: 1.728341]
--------------- Epoch 117 ---------------
117 [D loss: 15.767344, acc: 0%] [G loss: 1.399106]
--------------- Epoch 118 ---------------
118 [D loss: 16.026045, acc: 0%] [G loss: 1.386006]
--------------- Epoch 119 ---------------
119 [D loss: 16.386139, acc: 0%] [G loss: 1.478193]
--------------- Epoch 120 ---------------
120 [D loss: 15.499146, acc: 0%] [G loss: 1.649109]
--------------- Epoch 121 ---------------
121 [D loss: 16.375063, acc: 0%] [G loss: 1.863521]
--------------- Epoch 122 ---------------
122 [D loss: 16.024252, acc: 0%] [G loss: 1.622405]
--------------- Epoch 123 ---------------
123 [D loss: 16.011429, acc: 0%] [G loss: 1.578870]
--------------- Epoch 124 ---------------
124 [D loss: 16.090899, acc: 0%] [G loss: 1.496771]
--------------- Epoch 125 ---------------
125 [D loss: 15.645304, acc: 0%] [G loss: 1.897138]
--------------- Epoch 126 ---------------
126 [D loss: 15.710411, acc: 0%] [G loss: 1.588467]
--------------- Epoch 127 ---------------
127 [D loss: 15.845921, acc: 0%] [G loss: 1.592401]
--------------- Epoch 128 ---------------
128 [D loss: 15.593316, acc: 0%] [G loss: 1.305232]
--------------- Epoch 129 ---------------
129 [D loss: 15.932413, acc: 0%] [G loss: 1.519987]
--------------- Epoch 130 ---------------
130 [D loss: 16.248642, acc: 0%] [G loss: 1.475827]
--------------- Epoch 131 ---------------
131 [D loss: 16.221863, acc: 0%] [G loss: 1.555881]
--------------- Epoch 132 ---------------
132 [D loss: 15.942422, acc: 0%] [G loss: 1.403568]
--------------- Epoch 133 ---------------
133 [D loss: 16.033445, acc: 0%] [G loss: 1.436641]
--------------- Epoch 134 ---------------
134 [D loss: 15.438492, acc: 0%] [G loss: 1.755500]
--------------- Epoch 135 ---------------
135 [D loss: 15.968764, acc: 0%] [G loss: 1.498653]
--------------- Epoch 136 ---------------
136 [D loss: 15.852652, acc: 0%] [G loss: 1.555544]
--------------- Epoch 137 ---------------
137 [D loss: 16.211927, acc: 0%] [G loss: 1.519405]
--------------- Epoch 138 ---------------
138 [D loss: 16.300943, acc: 0%] [G loss: 1.509829]
--------------- Epoch 139 ---------------
139 [D loss: 15.588499, acc: 0%] [G loss: 1.440541]
--------------- Epoch 140 ---------------
140 [D loss: 15.887226, acc: 0%] [G loss: 1.660930]
--------------- Epoch 141 ---------------
141 [D loss: 16.221149, acc: 0%] [G loss: 1.569011]
--------------- Epoch 142 ---------------
142 [D loss: 15.742387, acc: 0%] [G loss: 1.868157]
--------------- Epoch 143 ---------------
143 [D loss: 15.962866, acc: 0%] [G loss: 1.388242]
--------------- Epoch 144 ---------------
144 [D loss: 15.806375, acc: 0%] [G loss: 1.399745]
--------------- Epoch 145 ---------------
145 [D loss: 15.482956, acc: 0%] [G loss: 1.478290]
--------------- Epoch 146 ---------------
146 [D loss: 15.723846, acc: 0%] [G loss: 1.800297]
--------------- Epoch 147 ---------------
147 [D loss: 16.006889, acc: 0%] [G loss: 1.667322]
--------------- Epoch 148 ---------------
148 [D loss: 16.173599, acc: 0%] [G loss: 1.507667]
--------------- Epoch 149 ---------------
149 [D loss: 16.249054, acc: 0%] [G loss: 1.345177]
--------------- Epoch 150 ---------------
150 [D loss: 16.317011, acc: 0%] [G loss: 1.634486]
--------------- Epoch 151 ---------------
151 [D loss: 15.462906, acc: 0%] [G loss: 1.596937]
--------------- Epoch 152 ---------------
152 [D loss: 15.620543, acc: 0%] [G loss: 1.876720]
--------------- Epoch 153 ---------------
153 [D loss: 15.977562, acc: 0%] [G loss: 1.816274]
--------------- Epoch 154 ---------------
154 [D loss: 15.889668, acc: 0%] [G loss: 1.268834]
--------------- Epoch 155 ---------------
155 [D loss: 15.696463, acc: 0%] [G loss: 1.624313]
--------------- Epoch 156 ---------------
156 [D loss: 15.461616, acc: 0%] [G loss: 1.417368]
--------------- Epoch 157 ---------------
157 [D loss: 15.881934, acc: 0%] [G loss: 1.564787]
--------------- Epoch 158 ---------------
158 [D loss: 16.318754, acc: 0%] [G loss: 1.515308]
--------------- Epoch 159 ---------------
159 [D loss: 16.269306, acc: 0%] [G loss: 1.258767]
--------------- Epoch 160 ---------------
160 [D loss: 15.935966, acc: 0%] [G loss: 1.438178]
--------------- Epoch 161 ---------------
161 [D loss: 16.049721, acc: 0%] [G loss: 1.504390]
--------------- Epoch 162 ---------------
162 [D loss: 16.101982, acc: 0%] [G loss: 1.426488]
--------------- Epoch 163 ---------------
163 [D loss: 15.645592, acc: 0%] [G loss: 1.845039]
--------------- Epoch 164 ---------------
164 [D loss: 15.703264, acc: 0%] [G loss: 1.847996]
--------------- Epoch 165 ---------------
165 [D loss: 16.174265, acc: 0%] [G loss: 1.462980]
--------------- Epoch 166 ---------------
166 [D loss: 15.887431, acc: 0%] [G loss: 1.423529]
--------------- Epoch 167 ---------------
167 [D loss: 15.943756, acc: 0%] [G loss: 1.499753]
--------------- Epoch 168 ---------------
168 [D loss: 16.066631, acc: 0%] [G loss: 1.362760]
--------------- Epoch 169 ---------------
169 [D loss: 16.112926, acc: 0%] [G loss: 1.643345]
--------------- Epoch 170 ---------------
170 [D loss: 15.657652, acc: 0%] [G loss: 1.719681]
--------------- Epoch 171 ---------------
171 [D loss: 15.749951, acc: 0%] [G loss: 1.762195]
--------------- Epoch 172 ---------------
172 [D loss: 15.841349, acc: 0%] [G loss: 1.699604]
--------------- Epoch 173 ---------------
173 [D loss: 16.089262, acc: 0%] [G loss: 1.645547]
--------------- Epoch 174 ---------------
174 [D loss: 15.804479, acc: 0%] [G loss: 1.275239]
--------------- Epoch 175 ---------------
175 [D loss: 15.895698, acc: 0%] [G loss: 1.635398]
--------------- Epoch 176 ---------------
176 [D loss: 15.897502, acc: 0%] [G loss: 1.684139]
--------------- Epoch 177 ---------------
177 [D loss: 15.904114, acc: 0%] [G loss: 1.466909]
--------------- Epoch 178 ---------------
178 [D loss: 16.305222, acc: 0%] [G loss: 1.414967]
--------------- Epoch 179 ---------------
179 [D loss: 15.862948, acc: 0%] [G loss: 1.597779]
--------------- Epoch 180 ---------------
180 [D loss: 16.126909, acc: 0%] [G loss: 1.674117]
--------------- Epoch 181 ---------------
181 [D loss: 15.978105, acc: 0%] [G loss: 1.620474]
--------------- Epoch 182 ---------------
182 [D loss: 15.557166, acc: 0%] [G loss: 1.519065]
--------------- Epoch 183 ---------------
183 [D loss: 15.704721, acc: 0%] [G loss: 1.547848]
--------------- Epoch 184 ---------------
184 [D loss: 15.884169, acc: 0%] [G loss: 1.222330]
--------------- Epoch 185 ---------------
185 [D loss: 15.890349, acc: 0%] [G loss: 1.510690]
--------------- Epoch 186 ---------------
186 [D loss: 15.476259, acc: 0%] [G loss: 1.113548]
--------------- Epoch 187 ---------------
187 [D loss: 15.831693, acc: 0%] [G loss: 1.693109]
--------------- Epoch 188 ---------------
188 [D loss: 15.599296, acc: 0%] [G loss: 1.761562]
--------------- Epoch 189 ---------------
189 [D loss: 15.362123, acc: 0%] [G loss: 1.645275]
--------------- Epoch 190 ---------------
190 [D loss: 15.839697, acc: 0%] [G loss: 1.906884]
--------------- Epoch 191 ---------------
191 [D loss: 15.508367, acc: 0%] [G loss: 1.368499]
--------------- Epoch 192 ---------------
192 [D loss: 15.998571, acc: 0%] [G loss: 1.667950]
--------------- Epoch 193 ---------------
193 [D loss: 15.639349, acc: 0%] [G loss: 1.621860]
--------------- Epoch 194 ---------------
194 [D loss: 16.032188, acc: 0%] [G loss: 1.889007]
--------------- Epoch 195 ---------------
195 [D loss: 15.839132, acc: 0%] [G loss: 1.285753]
--------------- Epoch 196 ---------------
196 [D loss: 15.822159, acc: 0%] [G loss: 1.444634]
--------------- Epoch 197 ---------------
197 [D loss: 15.794798, acc: 0%] [G loss: 1.697012]
--------------- Epoch 198 ---------------
198 [D loss: 16.098137, acc: 0%] [G loss: 1.526697]
--------------- Epoch 199 ---------------
199 [D loss: 15.908468, acc: 0%] [G loss: 1.622274]
--------------- Epoch 200 ---------------
200 [D loss: 15.761814, acc: 0%] [G loss: 1.300990]
########## Learning Rate: 0.200000 ##########
generator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_82 (LSTM)               (None, 50, 64)            17920     
_________________________________________________________________
dropout_79 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_56 (TimeDis (None, 50, 2)             130       
=================================================================
Total params: 18,050
Trainable params: 18,050
Non-trainable params: 0
_________________________________________________________________
None
discriminator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_83 (LSTM)               (None, 50, 64)            17152     
_________________________________________________________________
dropout_80 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_57 (TimeDis (None, 50, 1)             65        
_________________________________________________________________
average_pooling1d_30 (Averag (None, 1, 1)              0         
_________________________________________________________________
flatten_30 (Flatten)         (None, 1)                 0         
=================================================================
Total params: 17,217
Trainable params: 17,217
Non-trainable params: 0
_________________________________________________________________
None
GAN
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
input_30 (InputLayer)        (None, 50, 5)             0         
_________________________________________________________________
sequential_59 (Sequential)   (None, 50, 2)             18050     
_________________________________________________________________
sequential_60 (Sequential)   (None, 1)                 17217     
=================================================================
Total params: 35,267
Trainable params: 18,050
Non-trainable params: 17,217
_________________________________________________________________
None
--------------- Epoch 1 ---------------
1 [D loss: 15.928948, acc: 0%] [G loss: 1.832053]
--------------- Epoch 2 ---------------
2 [D loss: 16.151199, acc: 0%] [G loss: 1.853557]
--------------- Epoch 3 ---------------
3 [D loss: 16.065710, acc: 0%] [G loss: 1.369074]
--------------- Epoch 4 ---------------
4 [D loss: 16.264107, acc: 0%] [G loss: 1.488241]
--------------- Epoch 5 ---------------
5 [D loss: 15.787045, acc: 0%] [G loss: 1.411175]
--------------- Epoch 6 ---------------
6 [D loss: 16.023573, acc: 0%] [G loss: 1.790914]
--------------- Epoch 7 ---------------
7 [D loss: 16.241537, acc: 0%] [G loss: 1.664657]
--------------- Epoch 8 ---------------
8 [D loss: 15.777562, acc: 0%] [G loss: 1.568405]
--------------- Epoch 9 ---------------
9 [D loss: 15.899049, acc: 0%] [G loss: 1.498392]
--------------- Epoch 10 ---------------
10 [D loss: 15.991467, acc: 0%] [G loss: 1.581631]
--------------- Epoch 11 ---------------
11 [D loss: 15.952588, acc: 0%] [G loss: 1.760686]
--------------- Epoch 12 ---------------
12 [D loss: 15.925924, acc: 0%] [G loss: 1.560352]
--------------- Epoch 13 ---------------
13 [D loss: 16.005680, acc: 0%] [G loss: 1.707211]
--------------- Epoch 14 ---------------
14 [D loss: 16.271992, acc: 0%] [G loss: 1.760445]
--------------- Epoch 15 ---------------
15 [D loss: 15.894842, acc: 0%] [G loss: 1.797575]
--------------- Epoch 16 ---------------
16 [D loss: 16.069092, acc: 0%] [G loss: 1.416063]
--------------- Epoch 17 ---------------
17 [D loss: 15.702927, acc: 0%] [G loss: 2.010782]
--------------- Epoch 18 ---------------
18 [D loss: 15.855041, acc: 0%] [G loss: 1.627237]
--------------- Epoch 19 ---------------
19 [D loss: 15.833611, acc: 0%] [G loss: 1.347585]
--------------- Epoch 20 ---------------
20 [D loss: 16.116699, acc: 0%] [G loss: 1.542785]
--------------- Epoch 21 ---------------
21 [D loss: 15.790195, acc: 0%] [G loss: 1.778239]
--------------- Epoch 22 ---------------
22 [D loss: 15.962902, acc: 0%] [G loss: 1.716548]
--------------- Epoch 23 ---------------
23 [D loss: 16.243677, acc: 0%] [G loss: 1.798605]
--------------- Epoch 24 ---------------
24 [D loss: 16.141726, acc: 0%] [G loss: 1.566306]
--------------- Epoch 25 ---------------
25 [D loss: 16.151287, acc: 0%] [G loss: 1.795289]
--------------- Epoch 26 ---------------
26 [D loss: 15.953155, acc: 0%] [G loss: 1.752847]
--------------- Epoch 27 ---------------
27 [D loss: 15.650692, acc: 0%] [G loss: 1.171742]
--------------- Epoch 28 ---------------
28 [D loss: 16.108994, acc: 0%] [G loss: 1.449416]
--------------- Epoch 29 ---------------
29 [D loss: 15.890628, acc: 0%] [G loss: 1.390085]
--------------- Epoch 30 ---------------
30 [D loss: 16.118296, acc: 0%] [G loss: 1.689540]
--------------- Epoch 31 ---------------
31 [D loss: 16.079796, acc: 0%] [G loss: 1.826541]
--------------- Epoch 32 ---------------
32 [D loss: 15.711543, acc: 0%] [G loss: 1.388062]
--------------- Epoch 33 ---------------
33 [D loss: 16.143660, acc: 0%] [G loss: 1.609023]
--------------- Epoch 34 ---------------
34 [D loss: 16.256248, acc: 0%] [G loss: 1.427207]
--------------- Epoch 35 ---------------
35 [D loss: 15.924156, acc: 0%] [G loss: 1.741397]
--------------- Epoch 36 ---------------
36 [D loss: 16.057581, acc: 0%] [G loss: 1.469284]
--------------- Epoch 37 ---------------
37 [D loss: 16.123095, acc: 0%] [G loss: 1.532810]
--------------- Epoch 38 ---------------
38 [D loss: 16.298069, acc: 0%] [G loss: 1.331488]
--------------- Epoch 39 ---------------
39 [D loss: 15.680959, acc: 0%] [G loss: 1.581204]
--------------- Epoch 40 ---------------
40 [D loss: 15.584908, acc: 0%] [G loss: 1.663427]
--------------- Epoch 41 ---------------
41 [D loss: 15.821181, acc: 0%] [G loss: 1.745074]
--------------- Epoch 42 ---------------
42 [D loss: 15.564297, acc: 0%] [G loss: 1.485745]
--------------- Epoch 43 ---------------
43 [D loss: 16.014002, acc: 0%] [G loss: 1.674100]
--------------- Epoch 44 ---------------
44 [D loss: 16.015236, acc: 0%] [G loss: 1.232010]
--------------- Epoch 45 ---------------
45 [D loss: 16.103781, acc: 0%] [G loss: 1.550149]
--------------- Epoch 46 ---------------
46 [D loss: 15.691083, acc: 0%] [G loss: 1.367608]
--------------- Epoch 47 ---------------
47 [D loss: 15.696979, acc: 0%] [G loss: 1.463848]
--------------- Epoch 48 ---------------
48 [D loss: 16.162148, acc: 0%] [G loss: 1.921003]
--------------- Epoch 49 ---------------
49 [D loss: 15.712411, acc: 0%] [G loss: 1.440167]
--------------- Epoch 50 ---------------
50 [D loss: 15.801242, acc: 0%] [G loss: 1.420117]
--------------- Epoch 51 ---------------
51 [D loss: 15.896440, acc: 0%] [G loss: 1.906706]
--------------- Epoch 52 ---------------
52 [D loss: 15.974711, acc: 0%] [G loss: 1.716594]
--------------- Epoch 53 ---------------
53 [D loss: 15.527598, acc: 0%] [G loss: 1.543896]
--------------- Epoch 54 ---------------
54 [D loss: 16.194830, acc: 0%] [G loss: 1.427642]
--------------- Epoch 55 ---------------
55 [D loss: 16.156031, acc: 0%] [G loss: 1.288599]
--------------- Epoch 56 ---------------
56 [D loss: 15.325017, acc: 0%] [G loss: 1.688323]
--------------- Epoch 57 ---------------
57 [D loss: 16.166803, acc: 0%] [G loss: 1.716626]
--------------- Epoch 58 ---------------
58 [D loss: 15.751268, acc: 0%] [G loss: 1.918637]
--------------- Epoch 59 ---------------
59 [D loss: 15.504241, acc: 0%] [G loss: 1.545746]
--------------- Epoch 60 ---------------
60 [D loss: 15.618097, acc: 0%] [G loss: 1.284588]
--------------- Epoch 61 ---------------
61 [D loss: 15.984565, acc: 0%] [G loss: 1.757435]
--------------- Epoch 62 ---------------
62 [D loss: 15.979599, acc: 0%] [G loss: 1.445079]
--------------- Epoch 63 ---------------
63 [D loss: 16.028797, acc: 0%] [G loss: 1.609645]
--------------- Epoch 64 ---------------
64 [D loss: 15.656255, acc: 0%] [G loss: 1.583339]
--------------- Epoch 65 ---------------
65 [D loss: 15.790019, acc: 0%] [G loss: 1.444996]
--------------- Epoch 66 ---------------
66 [D loss: 16.137367, acc: 0%] [G loss: 1.460879]
--------------- Epoch 67 ---------------
67 [D loss: 16.688086, acc: 0%] [G loss: 1.835095]
--------------- Epoch 68 ---------------
68 [D loss: 15.814134, acc: 0%] [G loss: 1.762343]
--------------- Epoch 69 ---------------
69 [D loss: 15.923556, acc: 0%] [G loss: 1.487677]
--------------- Epoch 70 ---------------
70 [D loss: 15.738524, acc: 0%] [G loss: 1.485782]
--------------- Epoch 71 ---------------
71 [D loss: 15.946822, acc: 0%] [G loss: 1.792981]
--------------- Epoch 72 ---------------
72 [D loss: 15.801461, acc: 0%] [G loss: 1.666125]
--------------- Epoch 73 ---------------
73 [D loss: 15.707842, acc: 0%] [G loss: 1.601903]
--------------- Epoch 74 ---------------
74 [D loss: 16.261112, acc: 0%] [G loss: 1.364638]
--------------- Epoch 75 ---------------
75 [D loss: 15.893381, acc: 0%] [G loss: 1.536840]
--------------- Epoch 76 ---------------
76 [D loss: 16.102720, acc: 0%] [G loss: 1.714680]
--------------- Epoch 77 ---------------
77 [D loss: 16.075575, acc: 0%] [G loss: 1.444425]
--------------- Epoch 78 ---------------
78 [D loss: 16.189064, acc: 0%] [G loss: 2.000185]
--------------- Epoch 79 ---------------
79 [D loss: 16.155819, acc: 0%] [G loss: 1.628863]
--------------- Epoch 80 ---------------
80 [D loss: 16.288980, acc: 0%] [G loss: 1.424832]
--------------- Epoch 81 ---------------
81 [D loss: 15.637916, acc: 0%] [G loss: 1.525727]
--------------- Epoch 82 ---------------
82 [D loss: 15.914491, acc: 0%] [G loss: 1.504453]
--------------- Epoch 83 ---------------
83 [D loss: 15.964170, acc: 0%] [G loss: 1.790124]
--------------- Epoch 84 ---------------
84 [D loss: 16.000364, acc: 0%] [G loss: 1.705701]
--------------- Epoch 85 ---------------
85 [D loss: 15.681508, acc: 0%] [G loss: 1.794677]
--------------- Epoch 86 ---------------
86 [D loss: 15.939510, acc: 0%] [G loss: 1.650634]
--------------- Epoch 87 ---------------
87 [D loss: 16.277214, acc: 0%] [G loss: 1.705699]
--------------- Epoch 88 ---------------
88 [D loss: 15.790074, acc: 0%] [G loss: 1.364537]
--------------- Epoch 89 ---------------
89 [D loss: 15.814962, acc: 0%] [G loss: 1.902023]
--------------- Epoch 90 ---------------
90 [D loss: 16.242483, acc: 0%] [G loss: 1.771715]
--------------- Epoch 91 ---------------
91 [D loss: 15.833331, acc: 0%] [G loss: 1.632392]
--------------- Epoch 92 ---------------
92 [D loss: 15.900180, acc: 0%] [G loss: 1.514973]
--------------- Epoch 93 ---------------
93 [D loss: 16.215801, acc: 0%] [G loss: 1.498829]
--------------- Epoch 94 ---------------
94 [D loss: 16.211329, acc: 0%] [G loss: 1.634530]
--------------- Epoch 95 ---------------
95 [D loss: 16.210781, acc: 0%] [G loss: 1.888020]
--------------- Epoch 96 ---------------
96 [D loss: 15.969995, acc: 0%] [G loss: 1.246156]
--------------- Epoch 97 ---------------
97 [D loss: 15.944821, acc: 0%] [G loss: 1.296405]
--------------- Epoch 98 ---------------
98 [D loss: 15.880163, acc: 0%] [G loss: 1.367693]
--------------- Epoch 99 ---------------
99 [D loss: 16.380785, acc: 0%] [G loss: 1.318368]
--------------- Epoch 100 ---------------
100 [D loss: 15.828989, acc: 0%] [G loss: 1.549350]
--------------- Epoch 101 ---------------
101 [D loss: 15.966617, acc: 0%] [G loss: 1.423159]
--------------- Epoch 102 ---------------
102 [D loss: 15.936436, acc: 0%] [G loss: 1.809307]
--------------- Epoch 103 ---------------
103 [D loss: 15.882865, acc: 0%] [G loss: 1.473731]
--------------- Epoch 104 ---------------
104 [D loss: 16.016090, acc: 0%] [G loss: 1.632189]
--------------- Epoch 105 ---------------
105 [D loss: 16.234386, acc: 0%] [G loss: 1.461173]
--------------- Epoch 106 ---------------
106 [D loss: 15.975287, acc: 0%] [G loss: 1.855797]
--------------- Epoch 107 ---------------
107 [D loss: 15.501451, acc: 0%] [G loss: 1.335781]
--------------- Epoch 108 ---------------
108 [D loss: 15.692120, acc: 0%] [G loss: 1.364977]
--------------- Epoch 109 ---------------
109 [D loss: 16.370386, acc: 0%] [G loss: 1.318444]
--------------- Epoch 110 ---------------
110 [D loss: 15.623997, acc: 0%] [G loss: 1.687921]
--------------- Epoch 111 ---------------
111 [D loss: 15.951383, acc: 0%] [G loss: 1.508031]
--------------- Epoch 112 ---------------
112 [D loss: 15.822716, acc: 0%] [G loss: 1.511616]
--------------- Epoch 113 ---------------
113 [D loss: 15.805240, acc: 0%] [G loss: 1.631538]
--------------- Epoch 114 ---------------
114 [D loss: 15.966377, acc: 0%] [G loss: 1.515373]
--------------- Epoch 115 ---------------
115 [D loss: 15.787222, acc: 0%] [G loss: 1.567995]
--------------- Epoch 116 ---------------
116 [D loss: 15.817230, acc: 0%] [G loss: 1.579366]
--------------- Epoch 117 ---------------
117 [D loss: 15.859564, acc: 0%] [G loss: 1.728447]
--------------- Epoch 118 ---------------
118 [D loss: 15.981591, acc: 0%] [G loss: 1.847483]
--------------- Epoch 119 ---------------
119 [D loss: 15.801463, acc: 0%] [G loss: 1.795129]
--------------- Epoch 120 ---------------
120 [D loss: 16.151970, acc: 0%] [G loss: 1.886368]
--------------- Epoch 121 ---------------
121 [D loss: 16.010885, acc: 0%] [G loss: 1.484370]
--------------- Epoch 122 ---------------
122 [D loss: 15.585805, acc: 0%] [G loss: 1.656269]
--------------- Epoch 123 ---------------
123 [D loss: 15.661296, acc: 0%] [G loss: 1.708021]
--------------- Epoch 124 ---------------
124 [D loss: 15.601225, acc: 0%] [G loss: 1.372147]
--------------- Epoch 125 ---------------
125 [D loss: 16.258995, acc: 0%] [G loss: 1.581792]
--------------- Epoch 126 ---------------
126 [D loss: 16.191002, acc: 0%] [G loss: 1.646065]
--------------- Epoch 127 ---------------
127 [D loss: 16.029484, acc: 0%] [G loss: 1.695212]
--------------- Epoch 128 ---------------
128 [D loss: 16.084076, acc: 0%] [G loss: 1.462032]
--------------- Epoch 129 ---------------
129 [D loss: 16.066885, acc: 0%] [G loss: 1.592753]
--------------- Epoch 130 ---------------
130 [D loss: 16.135628, acc: 0%] [G loss: 1.486279]
--------------- Epoch 131 ---------------
131 [D loss: 16.022673, acc: 0%] [G loss: 1.547808]
--------------- Epoch 132 ---------------
132 [D loss: 16.403166, acc: 0%] [G loss: 1.313929]
--------------- Epoch 133 ---------------
133 [D loss: 15.940039, acc: 0%] [G loss: 1.866208]
--------------- Epoch 134 ---------------
134 [D loss: 16.013729, acc: 0%] [G loss: 1.532629]
--------------- Epoch 135 ---------------
135 [D loss: 15.625781, acc: 0%] [G loss: 1.397106]
--------------- Epoch 136 ---------------
136 [D loss: 15.675441, acc: 0%] [G loss: 1.554674]
--------------- Epoch 137 ---------------
137 [D loss: 16.277052, acc: 0%] [G loss: 1.398381]
--------------- Epoch 138 ---------------
138 [D loss: 15.973601, acc: 0%] [G loss: 1.456545]
--------------- Epoch 139 ---------------
139 [D loss: 16.420795, acc: 0%] [G loss: 1.635481]
--------------- Epoch 140 ---------------
140 [D loss: 16.307257, acc: 0%] [G loss: 1.561643]
--------------- Epoch 141 ---------------
141 [D loss: 15.775354, acc: 0%] [G loss: 1.491387]
--------------- Epoch 142 ---------------
142 [D loss: 15.106679, acc: 0%] [G loss: 1.642944]
--------------- Epoch 143 ---------------
143 [D loss: 16.062548, acc: 0%] [G loss: 1.902792]
--------------- Epoch 144 ---------------
144 [D loss: 15.809580, acc: 0%] [G loss: 1.725418]
--------------- Epoch 145 ---------------
145 [D loss: 16.311935, acc: 0%] [G loss: 1.657873]
--------------- Epoch 146 ---------------
146 [D loss: 15.887017, acc: 0%] [G loss: 1.391648]
--------------- Epoch 147 ---------------
147 [D loss: 15.860780, acc: 0%] [G loss: 1.561756]
--------------- Epoch 148 ---------------
148 [D loss: 15.489820, acc: 0%] [G loss: 1.569266]
--------------- Epoch 149 ---------------
149 [D loss: 15.710502, acc: 0%] [G loss: 1.552149]
--------------- Epoch 150 ---------------
150 [D loss: 16.087313, acc: 0%] [G loss: 1.734366]
--------------- Epoch 151 ---------------
151 [D loss: 15.915250, acc: 0%] [G loss: 1.367078]
--------------- Epoch 152 ---------------
152 [D loss: 16.085670, acc: 0%] [G loss: 1.922984]
--------------- Epoch 153 ---------------
153 [D loss: 16.237673, acc: 0%] [G loss: 1.861145]
--------------- Epoch 154 ---------------
154 [D loss: 16.021194, acc: 0%] [G loss: 1.585970]
--------------- Epoch 155 ---------------
155 [D loss: 15.896321, acc: 0%] [G loss: 1.459062]
--------------- Epoch 156 ---------------
156 [D loss: 15.482882, acc: 0%] [G loss: 1.576459]
--------------- Epoch 157 ---------------
157 [D loss: 16.308357, acc: 0%] [G loss: 1.674190]
--------------- Epoch 158 ---------------
158 [D loss: 15.747917, acc: 0%] [G loss: 1.517809]
--------------- Epoch 159 ---------------
159 [D loss: 16.333805, acc: 0%] [G loss: 1.863028]
--------------- Epoch 160 ---------------
160 [D loss: 16.114107, acc: 0%] [G loss: 1.499456]
--------------- Epoch 161 ---------------
161 [D loss: 15.651031, acc: 0%] [G loss: 1.283297]
--------------- Epoch 162 ---------------
162 [D loss: 16.008930, acc: 0%] [G loss: 1.730776]
--------------- Epoch 163 ---------------
163 [D loss: 16.327881, acc: 0%] [G loss: 1.574295]
--------------- Epoch 164 ---------------
164 [D loss: 16.319426, acc: 0%] [G loss: 1.407832]
--------------- Epoch 165 ---------------
165 [D loss: 15.988817, acc: 0%] [G loss: 1.543329]
--------------- Epoch 166 ---------------
166 [D loss: 16.156708, acc: 0%] [G loss: 1.695165]
--------------- Epoch 167 ---------------
167 [D loss: 15.966617, acc: 0%] [G loss: 1.731381]
--------------- Epoch 168 ---------------
168 [D loss: 16.019836, acc: 0%] [G loss: 1.567963]
--------------- Epoch 169 ---------------
169 [D loss: 15.973429, acc: 0%] [G loss: 1.605376]
--------------- Epoch 170 ---------------
170 [D loss: 15.659449, acc: 0%] [G loss: 1.662580]
--------------- Epoch 171 ---------------
171 [D loss: 16.075676, acc: 0%] [G loss: 1.675427]
--------------- Epoch 172 ---------------
172 [D loss: 15.751167, acc: 0%] [G loss: 1.479327]
--------------- Epoch 173 ---------------
173 [D loss: 15.931323, acc: 0%] [G loss: 1.676358]
--------------- Epoch 174 ---------------
174 [D loss: 16.203373, acc: 0%] [G loss: 1.360276]
--------------- Epoch 175 ---------------
175 [D loss: 16.128700, acc: 0%] [G loss: 1.676687]
--------------- Epoch 176 ---------------
176 [D loss: 15.614857, acc: 0%] [G loss: 1.777964]
--------------- Epoch 177 ---------------
177 [D loss: 16.280752, acc: 0%] [G loss: 1.732827]
--------------- Epoch 178 ---------------
178 [D loss: 15.798363, acc: 0%] [G loss: 1.494280]
--------------- Epoch 179 ---------------
179 [D loss: 16.164644, acc: 0%] [G loss: 1.512972]
--------------- Epoch 180 ---------------
180 [D loss: 15.739006, acc: 0%] [G loss: 1.503176]
--------------- Epoch 181 ---------------
181 [D loss: 16.092909, acc: 0%] [G loss: 2.126298]
--------------- Epoch 182 ---------------
182 [D loss: 15.805221, acc: 0%] [G loss: 1.555419]
--------------- Epoch 183 ---------------
183 [D loss: 15.912424, acc: 0%] [G loss: 1.677383]
--------------- Epoch 184 ---------------
184 [D loss: 16.241079, acc: 0%] [G loss: 1.694949]
--------------- Epoch 185 ---------------
185 [D loss: 15.935625, acc: 0%] [G loss: 1.493320]
--------------- Epoch 186 ---------------
186 [D loss: 16.269564, acc: 0%] [G loss: 1.447516]
--------------- Epoch 187 ---------------
187 [D loss: 15.767737, acc: 0%] [G loss: 1.643973]
--------------- Epoch 188 ---------------
188 [D loss: 16.455605, acc: 0%] [G loss: 1.186809]
--------------- Epoch 189 ---------------
189 [D loss: 15.622241, acc: 0%] [G loss: 1.708810]
--------------- Epoch 190 ---------------
190 [D loss: 16.054090, acc: 0%] [G loss: 1.454075]
--------------- Epoch 191 ---------------
191 [D loss: 16.013786, acc: 0%] [G loss: 1.715873]
--------------- Epoch 192 ---------------
192 [D loss: 16.012741, acc: 0%] [G loss: 1.422233]
--------------- Epoch 193 ---------------
193 [D loss: 15.906070, acc: 0%] [G loss: 1.435062]
--------------- Epoch 194 ---------------
194 [D loss: 15.780187, acc: 0%] [G loss: 1.411875]
--------------- Epoch 195 ---------------
195 [D loss: 16.283747, acc: 0%] [G loss: 1.598665]
--------------- Epoch 196 ---------------
196 [D loss: 16.180855, acc: 0%] [G loss: 2.063313]
--------------- Epoch 197 ---------------
197 [D loss: 16.380901, acc: 0%] [G loss: 1.674814]
--------------- Epoch 198 ---------------
198 [D loss: 15.556320, acc: 0%] [G loss: 1.461189]
--------------- Epoch 199 ---------------
199 [D loss: 15.793332, acc: 0%] [G loss: 1.582290]
--------------- Epoch 200 ---------------
200 [D loss: 16.019783, acc: 0%] [G loss: 1.834916]
########## Learning Rate: 0.300000 ##########
generator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_84 (LSTM)               (None, 50, 64)            17920     
_________________________________________________________________
dropout_81 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_58 (TimeDis (None, 50, 2)             130       
=================================================================
Total params: 18,050
Trainable params: 18,050
Non-trainable params: 0
_________________________________________________________________
None
discriminator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_85 (LSTM)               (None, 50, 64)            17152     
_________________________________________________________________
dropout_82 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_59 (TimeDis (None, 50, 1)             65        
_________________________________________________________________
average_pooling1d_31 (Averag (None, 1, 1)              0         
_________________________________________________________________
flatten_31 (Flatten)         (None, 1)                 0         
=================================================================
Total params: 17,217
Trainable params: 17,217
Non-trainable params: 0
_________________________________________________________________
None
GAN
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
input_31 (InputLayer)        (None, 50, 5)             0         
_________________________________________________________________
sequential_61 (Sequential)   (None, 50, 2)             18050     
_________________________________________________________________
sequential_62 (Sequential)   (None, 1)                 17217     
=================================================================
Total params: 35,267
Trainable params: 18,050
Non-trainable params: 17,217
_________________________________________________________________
None
--------------- Epoch 1 ---------------
1 [D loss: 15.475223, acc: 0%] [G loss: 1.805730]
--------------- Epoch 2 ---------------
2 [D loss: 16.122295, acc: 0%] [G loss: 1.399520]
--------------- Epoch 3 ---------------
3 [D loss: 15.833961, acc: 0%] [G loss: 1.398585]
--------------- Epoch 4 ---------------
4 [D loss: 15.957682, acc: 0%] [G loss: 1.426814]
--------------- Epoch 5 ---------------
5 [D loss: 15.729110, acc: 0%] [G loss: 1.740850]
--------------- Epoch 6 ---------------
6 [D loss: 16.359650, acc: 0%] [G loss: 1.425806]
--------------- Epoch 7 ---------------
7 [D loss: 16.211147, acc: 0%] [G loss: 1.588277]
--------------- Epoch 8 ---------------
8 [D loss: 15.984529, acc: 0%] [G loss: 1.608401]
--------------- Epoch 9 ---------------
9 [D loss: 15.804993, acc: 0%] [G loss: 1.477878]
--------------- Epoch 10 ---------------
10 [D loss: 15.828661, acc: 0%] [G loss: 1.388816]
--------------- Epoch 11 ---------------
11 [D loss: 16.514101, acc: 0%] [G loss: 1.534754]
--------------- Epoch 12 ---------------
12 [D loss: 15.809950, acc: 0%] [G loss: 1.803553]
--------------- Epoch 13 ---------------
13 [D loss: 16.136967, acc: 0%] [G loss: 1.430832]
--------------- Epoch 14 ---------------
14 [D loss: 15.297540, acc: 0%] [G loss: 1.258875]
--------------- Epoch 15 ---------------
15 [D loss: 16.141247, acc: 0%] [G loss: 1.494417]
--------------- Epoch 16 ---------------
16 [D loss: 16.132452, acc: 0%] [G loss: 1.446789]
--------------- Epoch 17 ---------------
17 [D loss: 16.323803, acc: 0%] [G loss: 1.530609]
--------------- Epoch 18 ---------------
18 [D loss: 16.117659, acc: 0%] [G loss: 1.368119]
--------------- Epoch 19 ---------------
19 [D loss: 16.390862, acc: 0%] [G loss: 1.604784]
--------------- Epoch 20 ---------------
20 [D loss: 15.957274, acc: 0%] [G loss: 1.383744]
--------------- Epoch 21 ---------------
21 [D loss: 15.942207, acc: 0%] [G loss: 1.338678]
--------------- Epoch 22 ---------------
22 [D loss: 15.697223, acc: 0%] [G loss: 1.840165]
--------------- Epoch 23 ---------------
23 [D loss: 16.109348, acc: 0%] [G loss: 1.278270]
--------------- Epoch 24 ---------------
24 [D loss: 16.002756, acc: 0%] [G loss: 1.753078]
--------------- Epoch 25 ---------------
25 [D loss: 16.040312, acc: 0%] [G loss: 1.659772]
--------------- Epoch 26 ---------------
26 [D loss: 15.699498, acc: 0%] [G loss: 1.092561]
--------------- Epoch 27 ---------------
27 [D loss: 15.894563, acc: 0%] [G loss: 1.504624]
--------------- Epoch 28 ---------------
28 [D loss: 15.919744, acc: 0%] [G loss: 1.411958]
--------------- Epoch 29 ---------------
29 [D loss: 15.641510, acc: 0%] [G loss: 1.426653]
--------------- Epoch 30 ---------------
30 [D loss: 15.809503, acc: 0%] [G loss: 1.286511]
--------------- Epoch 31 ---------------
31 [D loss: 15.876574, acc: 0%] [G loss: 1.589112]
--------------- Epoch 32 ---------------
32 [D loss: 15.885120, acc: 0%] [G loss: 1.613938]
--------------- Epoch 33 ---------------
33 [D loss: 15.630255, acc: 0%] [G loss: 1.298360]
--------------- Epoch 34 ---------------
34 [D loss: 15.744251, acc: 0%] [G loss: 1.480651]
--------------- Epoch 35 ---------------
35 [D loss: 15.870214, acc: 0%] [G loss: 1.538694]
--------------- Epoch 36 ---------------
36 [D loss: 15.889621, acc: 0%] [G loss: 1.668202]
--------------- Epoch 37 ---------------
37 [D loss: 16.234383, acc: 0%] [G loss: 1.794717]
--------------- Epoch 38 ---------------
38 [D loss: 16.026640, acc: 0%] [G loss: 1.706365]
--------------- Epoch 39 ---------------
39 [D loss: 15.833933, acc: 0%] [G loss: 1.525099]
--------------- Epoch 40 ---------------
40 [D loss: 16.195898, acc: 0%] [G loss: 1.745669]
--------------- Epoch 41 ---------------
41 [D loss: 16.024670, acc: 0%] [G loss: 1.824875]
--------------- Epoch 42 ---------------
42 [D loss: 15.786665, acc: 0%] [G loss: 1.487396]
--------------- Epoch 43 ---------------
43 [D loss: 15.929481, acc: 0%] [G loss: 1.161840]
--------------- Epoch 44 ---------------
44 [D loss: 16.153374, acc: 0%] [G loss: 1.670288]
--------------- Epoch 45 ---------------
45 [D loss: 15.546220, acc: 0%] [G loss: 1.575961]
--------------- Epoch 46 ---------------
46 [D loss: 16.177490, acc: 0%] [G loss: 1.260310]
--------------- Epoch 47 ---------------
47 [D loss: 15.902501, acc: 0%] [G loss: 1.517784]
--------------- Epoch 48 ---------------
48 [D loss: 15.615311, acc: 0%] [G loss: 1.564644]
--------------- Epoch 49 ---------------
49 [D loss: 15.716855, acc: 0%] [G loss: 1.579605]
--------------- Epoch 50 ---------------
50 [D loss: 15.588469, acc: 0%] [G loss: 1.761154]
--------------- Epoch 51 ---------------
51 [D loss: 16.066938, acc: 0%] [G loss: 1.715338]
--------------- Epoch 52 ---------------
52 [D loss: 16.250263, acc: 0%] [G loss: 1.214480]
--------------- Epoch 53 ---------------
53 [D loss: 15.819768, acc: 0%] [G loss: 1.582106]
--------------- Epoch 54 ---------------
54 [D loss: 15.988482, acc: 0%] [G loss: 1.833885]
--------------- Epoch 55 ---------------
55 [D loss: 16.152388, acc: 0%] [G loss: 1.690259]
--------------- Epoch 56 ---------------
56 [D loss: 16.314310, acc: 0%] [G loss: 1.592061]
--------------- Epoch 57 ---------------
57 [D loss: 16.008690, acc: 0%] [G loss: 1.517887]
--------------- Epoch 58 ---------------
58 [D loss: 15.672665, acc: 0%] [G loss: 1.613231]
--------------- Epoch 59 ---------------
59 [D loss: 15.773935, acc: 0%] [G loss: 1.470939]
--------------- Epoch 60 ---------------
60 [D loss: 16.144951, acc: 0%] [G loss: 1.303264]
--------------- Epoch 61 ---------------
61 [D loss: 15.675158, acc: 0%] [G loss: 1.548403]
--------------- Epoch 62 ---------------
62 [D loss: 15.682030, acc: 0%] [G loss: 1.746941]
--------------- Epoch 63 ---------------
63 [D loss: 16.131098, acc: 0%] [G loss: 1.801503]
--------------- Epoch 64 ---------------
64 [D loss: 15.630914, acc: 0%] [G loss: 1.359838]
--------------- Epoch 65 ---------------
65 [D loss: 15.692801, acc: 0%] [G loss: 1.935892]
--------------- Epoch 66 ---------------
66 [D loss: 15.642254, acc: 0%] [G loss: 1.440438]
--------------- Epoch 67 ---------------
67 [D loss: 16.341192, acc: 0%] [G loss: 1.659560]
--------------- Epoch 68 ---------------
68 [D loss: 15.896605, acc: 0%] [G loss: 1.619909]
--------------- Epoch 69 ---------------
69 [D loss: 15.733330, acc: 0%] [G loss: 1.501360]
--------------- Epoch 70 ---------------
70 [D loss: 16.109570, acc: 0%] [G loss: 1.493378]
--------------- Epoch 71 ---------------
71 [D loss: 15.819024, acc: 0%] [G loss: 1.400420]
--------------- Epoch 72 ---------------
72 [D loss: 16.176577, acc: 0%] [G loss: 1.544978]
--------------- Epoch 73 ---------------
73 [D loss: 15.537853, acc: 0%] [G loss: 1.347634]
--------------- Epoch 74 ---------------
74 [D loss: 15.806129, acc: 0%] [G loss: 1.442289]
--------------- Epoch 75 ---------------
75 [D loss: 16.092842, acc: 0%] [G loss: 1.576068]
--------------- Epoch 76 ---------------
76 [D loss: 15.996814, acc: 0%] [G loss: 1.651070]
--------------- Epoch 77 ---------------
77 [D loss: 16.091360, acc: 0%] [G loss: 1.546701]
--------------- Epoch 78 ---------------
78 [D loss: 15.819050, acc: 0%] [G loss: 1.939821]
--------------- Epoch 79 ---------------
79 [D loss: 15.817304, acc: 0%] [G loss: 1.789209]
--------------- Epoch 80 ---------------
80 [D loss: 15.756900, acc: 0%] [G loss: 1.567225]
--------------- Epoch 81 ---------------
81 [D loss: 16.158722, acc: 0%] [G loss: 1.538750]
--------------- Epoch 82 ---------------
82 [D loss: 16.117256, acc: 0%] [G loss: 1.797460]
--------------- Epoch 83 ---------------
83 [D loss: 16.109068, acc: 0%] [G loss: 1.512500]
--------------- Epoch 84 ---------------
84 [D loss: 15.897013, acc: 0%] [G loss: 1.703611]
--------------- Epoch 85 ---------------
85 [D loss: 15.382741, acc: 0%] [G loss: 1.677308]
--------------- Epoch 86 ---------------
86 [D loss: 16.032639, acc: 0%] [G loss: 1.754284]
--------------- Epoch 87 ---------------
87 [D loss: 15.847253, acc: 0%] [G loss: 1.687966]
--------------- Epoch 88 ---------------
88 [D loss: 15.912248, acc: 0%] [G loss: 1.623696]
--------------- Epoch 89 ---------------
89 [D loss: 16.150734, acc: 0%] [G loss: 1.410823]
--------------- Epoch 90 ---------------
90 [D loss: 15.734179, acc: 0%] [G loss: 1.414962]
--------------- Epoch 91 ---------------
91 [D loss: 15.869389, acc: 0%] [G loss: 1.786544]
--------------- Epoch 92 ---------------
92 [D loss: 15.789153, acc: 0%] [G loss: 1.522315]
--------------- Epoch 93 ---------------
93 [D loss: 16.044495, acc: 0%] [G loss: 1.543060]
--------------- Epoch 94 ---------------
94 [D loss: 16.194204, acc: 0%] [G loss: 1.418778]
--------------- Epoch 95 ---------------
95 [D loss: 16.685556, acc: 0%] [G loss: 1.584391]
--------------- Epoch 96 ---------------
96 [D loss: 16.255856, acc: 0%] [G loss: 1.513348]
--------------- Epoch 97 ---------------
97 [D loss: 15.843993, acc: 0%] [G loss: 1.338321]
--------------- Epoch 98 ---------------
98 [D loss: 15.775768, acc: 0%] [G loss: 1.380605]
--------------- Epoch 99 ---------------
99 [D loss: 15.782496, acc: 0%] [G loss: 1.858896]
--------------- Epoch 100 ---------------
100 [D loss: 15.898759, acc: 0%] [G loss: 1.550275]
--------------- Epoch 101 ---------------
101 [D loss: 16.119038, acc: 0%] [G loss: 1.831862]
--------------- Epoch 102 ---------------
102 [D loss: 16.071905, acc: 0%] [G loss: 1.751286]
--------------- Epoch 103 ---------------
103 [D loss: 15.456227, acc: 0%] [G loss: 1.512562]
--------------- Epoch 104 ---------------
104 [D loss: 15.838092, acc: 0%] [G loss: 1.696695]
--------------- Epoch 105 ---------------
105 [D loss: 15.758039, acc: 0%] [G loss: 1.533056]
--------------- Epoch 106 ---------------
106 [D loss: 16.077616, acc: 0%] [G loss: 1.667473]
--------------- Epoch 107 ---------------
107 [D loss: 15.941213, acc: 0%] [G loss: 1.943128]
--------------- Epoch 108 ---------------
108 [D loss: 15.577519, acc: 0%] [G loss: 1.777032]
--------------- Epoch 109 ---------------
109 [D loss: 16.080900, acc: 0%] [G loss: 1.736856]
--------------- Epoch 110 ---------------
110 [D loss: 16.300285, acc: 0%] [G loss: 1.577445]
--------------- Epoch 111 ---------------
111 [D loss: 15.714137, acc: 0%] [G loss: 1.729785]
--------------- Epoch 112 ---------------
112 [D loss: 15.933311, acc: 0%] [G loss: 1.788896]
--------------- Epoch 113 ---------------
113 [D loss: 16.157257, acc: 0%] [G loss: 1.482685]
--------------- Epoch 114 ---------------
114 [D loss: 16.193525, acc: 0%] [G loss: 1.433215]
--------------- Epoch 115 ---------------
115 [D loss: 15.842481, acc: 0%] [G loss: 1.737787]
--------------- Epoch 116 ---------------
116 [D loss: 16.012459, acc: 0%] [G loss: 1.769764]
--------------- Epoch 117 ---------------
117 [D loss: 16.278082, acc: 0%] [G loss: 1.755869]
--------------- Epoch 118 ---------------
118 [D loss: 15.710579, acc: 0%] [G loss: 1.489584]
--------------- Epoch 119 ---------------
119 [D loss: 16.216696, acc: 0%] [G loss: 1.798982]
--------------- Epoch 120 ---------------
120 [D loss: 15.919903, acc: 0%] [G loss: 1.672756]
--------------- Epoch 121 ---------------
121 [D loss: 16.356655, acc: 0%] [G loss: 1.561603]
--------------- Epoch 122 ---------------
122 [D loss: 15.990203, acc: 0%] [G loss: 1.693729]
--------------- Epoch 123 ---------------
123 [D loss: 16.091299, acc: 0%] [G loss: 1.795362]
--------------- Epoch 124 ---------------
124 [D loss: 15.888626, acc: 0%] [G loss: 1.857028]
--------------- Epoch 125 ---------------
125 [D loss: 15.984246, acc: 0%] [G loss: 1.303699]
--------------- Epoch 126 ---------------
126 [D loss: 15.911591, acc: 0%] [G loss: 1.938364]
--------------- Epoch 127 ---------------
127 [D loss: 16.233305, acc: 0%] [G loss: 1.658029]
--------------- Epoch 128 ---------------
128 [D loss: 15.578938, acc: 0%] [G loss: 1.726964]
--------------- Epoch 129 ---------------
129 [D loss: 16.059662, acc: 0%] [G loss: 1.493040]
--------------- Epoch 130 ---------------
130 [D loss: 16.011789, acc: 0%] [G loss: 1.292109]
--------------- Epoch 131 ---------------
131 [D loss: 16.008284, acc: 0%] [G loss: 1.649775]
--------------- Epoch 132 ---------------
132 [D loss: 15.733134, acc: 0%] [G loss: 1.265302]
--------------- Epoch 133 ---------------
133 [D loss: 16.032028, acc: 0%] [G loss: 1.455892]
--------------- Epoch 134 ---------------
134 [D loss: 16.207581, acc: 0%] [G loss: 1.783356]
--------------- Epoch 135 ---------------
135 [D loss: 16.004118, acc: 0%] [G loss: 1.438592]
--------------- Epoch 136 ---------------
136 [D loss: 15.770433, acc: 0%] [G loss: 1.646624]
--------------- Epoch 137 ---------------
137 [D loss: 16.063400, acc: 0%] [G loss: 1.733415]
--------------- Epoch 138 ---------------
138 [D loss: 15.662993, acc: 0%] [G loss: 1.844689]
--------------- Epoch 139 ---------------
139 [D loss: 16.043537, acc: 0%] [G loss: 1.874780]
--------------- Epoch 140 ---------------
140 [D loss: 16.131931, acc: 0%] [G loss: 1.929468]
--------------- Epoch 141 ---------------
141 [D loss: 15.849839, acc: 0%] [G loss: 1.851063]
--------------- Epoch 142 ---------------
142 [D loss: 15.602296, acc: 0%] [G loss: 1.603721]
--------------- Epoch 143 ---------------
143 [D loss: 15.753826, acc: 0%] [G loss: 1.385167]
--------------- Epoch 144 ---------------
144 [D loss: 15.913117, acc: 0%] [G loss: 1.153481]
--------------- Epoch 145 ---------------
145 [D loss: 16.045176, acc: 0%] [G loss: 1.733262]
--------------- Epoch 146 ---------------
146 [D loss: 15.435012, acc: 0%] [G loss: 1.645075]
--------------- Epoch 147 ---------------
147 [D loss: 16.435429, acc: 0%] [G loss: 1.277336]
--------------- Epoch 148 ---------------
148 [D loss: 15.545827, acc: 0%] [G loss: 1.457754]
--------------- Epoch 149 ---------------
149 [D loss: 15.506040, acc: 0%] [G loss: 1.551305]
--------------- Epoch 150 ---------------
150 [D loss: 16.112848, acc: 0%] [G loss: 1.300092]
--------------- Epoch 151 ---------------
151 [D loss: 16.015488, acc: 0%] [G loss: 1.705068]
--------------- Epoch 152 ---------------
152 [D loss: 15.966615, acc: 0%] [G loss: 1.555321]
--------------- Epoch 153 ---------------
153 [D loss: 15.864536, acc: 0%] [G loss: 1.691046]
--------------- Epoch 154 ---------------
154 [D loss: 15.939084, acc: 0%] [G loss: 1.574600]
--------------- Epoch 155 ---------------
155 [D loss: 15.609774, acc: 0%] [G loss: 1.482944]
--------------- Epoch 156 ---------------
156 [D loss: 16.151628, acc: 0%] [G loss: 1.529071]
--------------- Epoch 157 ---------------
157 [D loss: 15.668337, acc: 0%] [G loss: 1.642107]
--------------- Epoch 158 ---------------
158 [D loss: 16.374853, acc: 0%] [G loss: 1.674166]
--------------- Epoch 159 ---------------
159 [D loss: 15.860938, acc: 0%] [G loss: 1.674913]
--------------- Epoch 160 ---------------
160 [D loss: 16.259233, acc: 0%] [G loss: 1.500230]
--------------- Epoch 161 ---------------
161 [D loss: 16.277706, acc: 0%] [G loss: 1.741901]
--------------- Epoch 162 ---------------
162 [D loss: 15.993711, acc: 0%] [G loss: 1.669084]
--------------- Epoch 163 ---------------
163 [D loss: 15.299441, acc: 0%] [G loss: 1.726539]
--------------- Epoch 164 ---------------
164 [D loss: 15.711318, acc: 0%] [G loss: 1.472944]
--------------- Epoch 165 ---------------
165 [D loss: 16.112450, acc: 0%] [G loss: 1.767601]
--------------- Epoch 166 ---------------
166 [D loss: 15.811449, acc: 0%] [G loss: 1.454714]
--------------- Epoch 167 ---------------
167 [D loss: 16.590761, acc: 0%] [G loss: 1.599436]
--------------- Epoch 168 ---------------
168 [D loss: 15.572999, acc: 0%] [G loss: 1.849782]
--------------- Epoch 169 ---------------
169 [D loss: 16.290382, acc: 0%] [G loss: 1.323880]
--------------- Epoch 170 ---------------
170 [D loss: 16.100969, acc: 0%] [G loss: 1.713682]
--------------- Epoch 171 ---------------
171 [D loss: 15.921683, acc: 0%] [G loss: 1.584092]
--------------- Epoch 172 ---------------
172 [D loss: 15.622275, acc: 0%] [G loss: 1.453004]
--------------- Epoch 173 ---------------
173 [D loss: 16.080809, acc: 0%] [G loss: 1.717458]
--------------- Epoch 174 ---------------
174 [D loss: 15.929312, acc: 0%] [G loss: 1.246055]
--------------- Epoch 175 ---------------
175 [D loss: 15.667681, acc: 0%] [G loss: 1.505737]
--------------- Epoch 176 ---------------
176 [D loss: 15.724828, acc: 0%] [G loss: 1.588073]
--------------- Epoch 177 ---------------
177 [D loss: 15.820733, acc: 0%] [G loss: 1.778775]
--------------- Epoch 178 ---------------
178 [D loss: 16.029114, acc: 0%] [G loss: 1.566178]
--------------- Epoch 179 ---------------
179 [D loss: 16.210112, acc: 0%] [G loss: 1.694546]
--------------- Epoch 180 ---------------
180 [D loss: 16.114609, acc: 0%] [G loss: 1.464370]
--------------- Epoch 181 ---------------
181 [D loss: 16.017176, acc: 0%] [G loss: 1.702687]
--------------- Epoch 182 ---------------
182 [D loss: 15.508671, acc: 0%] [G loss: 1.722778]
--------------- Epoch 183 ---------------
183 [D loss: 15.680477, acc: 0%] [G loss: 1.578936]
--------------- Epoch 184 ---------------
184 [D loss: 15.655086, acc: 0%] [G loss: 1.870105]
--------------- Epoch 185 ---------------
185 [D loss: 16.121948, acc: 0%] [G loss: 1.635046]
--------------- Epoch 186 ---------------
186 [D loss: 15.910649, acc: 0%] [G loss: 1.855717]
--------------- Epoch 187 ---------------
187 [D loss: 15.931340, acc: 0%] [G loss: 1.616274]
--------------- Epoch 188 ---------------
188 [D loss: 15.981931, acc: 0%] [G loss: 1.555327]
--------------- Epoch 189 ---------------
189 [D loss: 15.935823, acc: 0%] [G loss: 1.658400]
--------------- Epoch 190 ---------------
190 [D loss: 15.785089, acc: 0%] [G loss: 1.544281]
--------------- Epoch 191 ---------------
191 [D loss: 15.939841, acc: 0%] [G loss: 1.765698]
--------------- Epoch 192 ---------------
192 [D loss: 15.615778, acc: 0%] [G loss: 1.595370]
--------------- Epoch 193 ---------------
193 [D loss: 15.925268, acc: 0%] [G loss: 1.469564]
--------------- Epoch 194 ---------------
194 [D loss: 16.245525, acc: 0%] [G loss: 1.351625]
--------------- Epoch 195 ---------------
195 [D loss: 15.791517, acc: 0%] [G loss: 1.671166]
--------------- Epoch 196 ---------------
196 [D loss: 16.210178, acc: 0%] [G loss: 1.649608]
--------------- Epoch 197 ---------------
197 [D loss: 15.561543, acc: 0%] [G loss: 1.599394]
--------------- Epoch 198 ---------------
198 [D loss: 16.034033, acc: 0%] [G loss: 1.611539]
--------------- Epoch 199 ---------------
199 [D loss: 16.004847, acc: 0%] [G loss: 1.609286]
--------------- Epoch 200 ---------------
200 [D loss: 15.346263, acc: 0%] [G loss: 1.497624]
########## Learning Rate: 0.400000 ##########
generator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_86 (LSTM)               (None, 50, 64)            17920     
_________________________________________________________________
dropout_83 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_60 (TimeDis (None, 50, 2)             130       
=================================================================
Total params: 18,050
Trainable params: 18,050
Non-trainable params: 0
_________________________________________________________________
None
discriminator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_87 (LSTM)               (None, 50, 64)            17152     
_________________________________________________________________
dropout_84 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_61 (TimeDis (None, 50, 1)             65        
_________________________________________________________________
average_pooling1d_32 (Averag (None, 1, 1)              0         
_________________________________________________________________
flatten_32 (Flatten)         (None, 1)                 0         
=================================================================
Total params: 17,217
Trainable params: 17,217
Non-trainable params: 0
_________________________________________________________________
None
GAN
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
input_32 (InputLayer)        (None, 50, 5)             0         
_________________________________________________________________
sequential_63 (Sequential)   (None, 50, 2)             18050     
_________________________________________________________________
sequential_64 (Sequential)   (None, 1)                 17217     
=================================================================
Total params: 35,267
Trainable params: 18,050
Non-trainable params: 17,217
_________________________________________________________________
None
--------------- Epoch 1 ---------------
1 [D loss: 16.164907, acc: 0%] [G loss: 1.762879]
--------------- Epoch 2 ---------------
2 [D loss: 16.188709, acc: 0%] [G loss: 1.452616]
--------------- Epoch 3 ---------------
3 [D loss: 16.428082, acc: 0%] [G loss: 1.615086]
--------------- Epoch 4 ---------------
4 [D loss: 15.748048, acc: 0%] [G loss: 1.494867]
--------------- Epoch 5 ---------------
5 [D loss: 16.032194, acc: 0%] [G loss: 1.690705]
--------------- Epoch 6 ---------------
6 [D loss: 15.787847, acc: 0%] [G loss: 1.703379]
--------------- Epoch 7 ---------------
7 [D loss: 16.114285, acc: 0%] [G loss: 1.806936]
--------------- Epoch 8 ---------------
8 [D loss: 15.719941, acc: 0%] [G loss: 1.576391]
--------------- Epoch 9 ---------------
9 [D loss: 15.917563, acc: 0%] [G loss: 1.547745]
--------------- Epoch 10 ---------------
10 [D loss: 15.502854, acc: 0%] [G loss: 1.627141]
--------------- Epoch 11 ---------------
11 [D loss: 16.181801, acc: 0%] [G loss: 1.446774]
--------------- Epoch 12 ---------------
12 [D loss: 15.586694, acc: 0%] [G loss: 1.536715]
--------------- Epoch 13 ---------------
13 [D loss: 15.933773, acc: 0%] [G loss: 1.567410]
--------------- Epoch 14 ---------------
14 [D loss: 16.081842, acc: 0%] [G loss: 1.515437]
--------------- Epoch 15 ---------------
15 [D loss: 16.059240, acc: 0%] [G loss: 2.152896]
--------------- Epoch 16 ---------------
16 [D loss: 15.999594, acc: 0%] [G loss: 1.274260]
--------------- Epoch 17 ---------------
17 [D loss: 15.652458, acc: 0%] [G loss: 1.640462]
--------------- Epoch 18 ---------------
18 [D loss: 16.133549, acc: 0%] [G loss: 1.281603]
--------------- Epoch 19 ---------------
19 [D loss: 16.201092, acc: 0%] [G loss: 1.647233]
--------------- Epoch 20 ---------------
20 [D loss: 15.691697, acc: 0%] [G loss: 1.263193]
--------------- Epoch 21 ---------------
21 [D loss: 15.593802, acc: 0%] [G loss: 1.193817]
--------------- Epoch 22 ---------------
22 [D loss: 15.908202, acc: 0%] [G loss: 1.498405]
--------------- Epoch 23 ---------------
23 [D loss: 16.152351, acc: 0%] [G loss: 1.577350]
--------------- Epoch 24 ---------------
24 [D loss: 15.663944, acc: 0%] [G loss: 1.743756]
--------------- Epoch 25 ---------------
25 [D loss: 15.745198, acc: 0%] [G loss: 1.556133]
--------------- Epoch 26 ---------------
26 [D loss: 15.967966, acc: 0%] [G loss: 1.529668]
--------------- Epoch 27 ---------------
27 [D loss: 16.015169, acc: 0%] [G loss: 1.386596]
--------------- Epoch 28 ---------------
28 [D loss: 16.266451, acc: 0%] [G loss: 1.629643]
--------------- Epoch 29 ---------------
29 [D loss: 16.061274, acc: 0%] [G loss: 1.589622]
--------------- Epoch 30 ---------------
30 [D loss: 15.967287, acc: 0%] [G loss: 1.448362]
--------------- Epoch 31 ---------------
31 [D loss: 16.464296, acc: 0%] [G loss: 1.439509]
--------------- Epoch 32 ---------------
32 [D loss: 15.629053, acc: 0%] [G loss: 1.478544]
--------------- Epoch 33 ---------------
33 [D loss: 15.896960, acc: 0%] [G loss: 1.424600]
--------------- Epoch 34 ---------------
34 [D loss: 15.868707, acc: 0%] [G loss: 1.850516]
--------------- Epoch 35 ---------------
35 [D loss: 16.080872, acc: 0%] [G loss: 1.487187]
--------------- Epoch 36 ---------------
36 [D loss: 16.184862, acc: 0%] [G loss: 1.672982]
--------------- Epoch 37 ---------------
37 [D loss: 15.855608, acc: 0%] [G loss: 1.648769]
--------------- Epoch 38 ---------------
38 [D loss: 15.782885, acc: 0%] [G loss: 1.638241]
--------------- Epoch 39 ---------------
39 [D loss: 16.300200, acc: 0%] [G loss: 1.548498]
--------------- Epoch 40 ---------------
40 [D loss: 15.944407, acc: 0%] [G loss: 1.538595]
--------------- Epoch 41 ---------------
41 [D loss: 15.609211, acc: 0%] [G loss: 1.607615]
--------------- Epoch 42 ---------------
42 [D loss: 15.955143, acc: 0%] [G loss: 1.494637]
--------------- Epoch 43 ---------------
43 [D loss: 16.558640, acc: 0%] [G loss: 1.518659]
--------------- Epoch 44 ---------------
44 [D loss: 15.980207, acc: 0%] [G loss: 1.671382]
--------------- Epoch 45 ---------------
45 [D loss: 15.564655, acc: 0%] [G loss: 1.452565]
--------------- Epoch 46 ---------------
46 [D loss: 15.619343, acc: 0%] [G loss: 1.680756]
--------------- Epoch 47 ---------------
47 [D loss: 15.815149, acc: 0%] [G loss: 1.920250]
--------------- Epoch 48 ---------------
48 [D loss: 15.776168, acc: 0%] [G loss: 1.750800]
--------------- Epoch 49 ---------------
49 [D loss: 15.724614, acc: 0%] [G loss: 1.769335]
--------------- Epoch 50 ---------------
50 [D loss: 16.193979, acc: 0%] [G loss: 1.507592]
--------------- Epoch 51 ---------------
51 [D loss: 15.736432, acc: 0%] [G loss: 1.490818]
--------------- Epoch 52 ---------------
52 [D loss: 15.795789, acc: 0%] [G loss: 1.438576]
--------------- Epoch 53 ---------------
53 [D loss: 16.031321, acc: 0%] [G loss: 1.633929]
--------------- Epoch 54 ---------------
54 [D loss: 15.858050, acc: 0%] [G loss: 1.471185]
--------------- Epoch 55 ---------------
55 [D loss: 16.022923, acc: 0%] [G loss: 1.466945]
--------------- Epoch 56 ---------------
56 [D loss: 16.042675, acc: 0%] [G loss: 1.771597]
--------------- Epoch 57 ---------------
57 [D loss: 15.403664, acc: 0%] [G loss: 1.549935]
--------------- Epoch 58 ---------------
58 [D loss: 16.139635, acc: 0%] [G loss: 1.209150]
--------------- Epoch 59 ---------------
59 [D loss: 15.616230, acc: 0%] [G loss: 1.231815]
--------------- Epoch 60 ---------------
60 [D loss: 15.534009, acc: 0%] [G loss: 1.799891]
--------------- Epoch 61 ---------------
61 [D loss: 15.852422, acc: 0%] [G loss: 1.452109]
--------------- Epoch 62 ---------------
62 [D loss: 16.030876, acc: 0%] [G loss: 1.517856]
--------------- Epoch 63 ---------------
63 [D loss: 15.661038, acc: 0%] [G loss: 1.766870]
--------------- Epoch 64 ---------------
64 [D loss: 16.069105, acc: 0%] [G loss: 1.668247]
--------------- Epoch 65 ---------------
65 [D loss: 15.786834, acc: 0%] [G loss: 1.414445]
--------------- Epoch 66 ---------------
66 [D loss: 15.547027, acc: 0%] [G loss: 1.871949]
--------------- Epoch 67 ---------------
67 [D loss: 16.474737, acc: 0%] [G loss: 1.838344]
--------------- Epoch 68 ---------------
68 [D loss: 15.833724, acc: 0%] [G loss: 1.725620]
--------------- Epoch 69 ---------------
69 [D loss: 16.058544, acc: 0%] [G loss: 1.290707]
--------------- Epoch 70 ---------------
70 [D loss: 16.047201, acc: 0%] [G loss: 1.489373]
--------------- Epoch 71 ---------------
71 [D loss: 15.540252, acc: 0%] [G loss: 1.477635]
--------------- Epoch 72 ---------------
72 [D loss: 15.975663, acc: 0%] [G loss: 1.574038]
--------------- Epoch 73 ---------------
73 [D loss: 16.136795, acc: 0%] [G loss: 1.346900]
--------------- Epoch 74 ---------------
74 [D loss: 15.748792, acc: 0%] [G loss: 1.670312]
--------------- Epoch 75 ---------------
75 [D loss: 15.972828, acc: 0%] [G loss: 1.733700]
--------------- Epoch 76 ---------------
76 [D loss: 15.899999, acc: 0%] [G loss: 1.495373]
--------------- Epoch 77 ---------------
77 [D loss: 15.900361, acc: 0%] [G loss: 1.909118]
--------------- Epoch 78 ---------------
78 [D loss: 15.779211, acc: 0%] [G loss: 1.493726]
--------------- Epoch 79 ---------------
79 [D loss: 16.288454, acc: 0%] [G loss: 1.632600]
--------------- Epoch 80 ---------------
80 [D loss: 15.818510, acc: 0%] [G loss: 1.829644]
--------------- Epoch 81 ---------------
81 [D loss: 16.054718, acc: 0%] [G loss: 1.590024]
--------------- Epoch 82 ---------------
82 [D loss: 16.330719, acc: 0%] [G loss: 1.784586]
--------------- Epoch 83 ---------------
83 [D loss: 15.896384, acc: 0%] [G loss: 1.732048]
--------------- Epoch 84 ---------------
84 [D loss: 15.893637, acc: 0%] [G loss: 1.726575]
--------------- Epoch 85 ---------------
85 [D loss: 16.125570, acc: 0%] [G loss: 1.548300]
--------------- Epoch 86 ---------------
86 [D loss: 15.863620, acc: 0%] [G loss: 1.918064]
--------------- Epoch 87 ---------------
87 [D loss: 15.609263, acc: 0%] [G loss: 1.578458]
--------------- Epoch 88 ---------------
88 [D loss: 15.885118, acc: 0%] [G loss: 1.632926]
--------------- Epoch 89 ---------------
89 [D loss: 15.569548, acc: 0%] [G loss: 1.721839]
--------------- Epoch 90 ---------------
90 [D loss: 16.004351, acc: 0%] [G loss: 1.189552]
--------------- Epoch 91 ---------------
91 [D loss: 16.002104, acc: 0%] [G loss: 1.384930]
--------------- Epoch 92 ---------------
92 [D loss: 16.195478, acc: 0%] [G loss: 1.477535]
--------------- Epoch 93 ---------------
93 [D loss: 15.800935, acc: 0%] [G loss: 1.460167]
--------------- Epoch 94 ---------------
94 [D loss: 16.051632, acc: 0%] [G loss: 1.268942]
--------------- Epoch 95 ---------------
95 [D loss: 15.662236, acc: 0%] [G loss: 1.549429]
--------------- Epoch 96 ---------------
96 [D loss: 15.878456, acc: 0%] [G loss: 1.180881]
--------------- Epoch 97 ---------------
97 [D loss: 15.981183, acc: 0%] [G loss: 1.443658]
--------------- Epoch 98 ---------------
98 [D loss: 16.574305, acc: 0%] [G loss: 1.829082]
--------------- Epoch 99 ---------------
99 [D loss: 16.071989, acc: 0%] [G loss: 1.558560]
--------------- Epoch 100 ---------------
100 [D loss: 16.207361, acc: 0%] [G loss: 1.182999]
--------------- Epoch 101 ---------------
101 [D loss: 15.689973, acc: 0%] [G loss: 1.727478]
--------------- Epoch 102 ---------------
102 [D loss: 16.118027, acc: 0%] [G loss: 1.785009]
--------------- Epoch 103 ---------------
103 [D loss: 15.994277, acc: 0%] [G loss: 1.733279]
--------------- Epoch 104 ---------------
104 [D loss: 16.005867, acc: 0%] [G loss: 1.589437]
--------------- Epoch 105 ---------------
105 [D loss: 16.162617, acc: 0%] [G loss: 1.746157]
--------------- Epoch 106 ---------------
106 [D loss: 15.493811, acc: 0%] [G loss: 1.350792]
--------------- Epoch 107 ---------------
107 [D loss: 16.342133, acc: 0%] [G loss: 1.774095]
--------------- Epoch 108 ---------------
108 [D loss: 16.283815, acc: 0%] [G loss: 1.534933]
--------------- Epoch 109 ---------------
109 [D loss: 15.888710, acc: 0%] [G loss: 1.375987]
--------------- Epoch 110 ---------------
110 [D loss: 16.045393, acc: 0%] [G loss: 1.954196]
--------------- Epoch 111 ---------------
111 [D loss: 15.929067, acc: 0%] [G loss: 1.487186]
--------------- Epoch 112 ---------------
112 [D loss: 16.278337, acc: 0%] [G loss: 1.560438]
--------------- Epoch 113 ---------------
113 [D loss: 15.598408, acc: 0%] [G loss: 1.336359]
--------------- Epoch 114 ---------------
114 [D loss: 15.993614, acc: 0%] [G loss: 1.454497]
--------------- Epoch 115 ---------------
115 [D loss: 15.986533, acc: 0%] [G loss: 1.382491]
--------------- Epoch 116 ---------------
116 [D loss: 15.815790, acc: 0%] [G loss: 1.826199]
--------------- Epoch 117 ---------------
117 [D loss: 16.286396, acc: 0%] [G loss: 1.646638]
--------------- Epoch 118 ---------------
118 [D loss: 15.514221, acc: 0%] [G loss: 1.809397]
--------------- Epoch 119 ---------------
119 [D loss: 15.882688, acc: 0%] [G loss: 1.518483]
--------------- Epoch 120 ---------------
120 [D loss: 16.110268, acc: 0%] [G loss: 1.822079]
--------------- Epoch 121 ---------------
121 [D loss: 16.126883, acc: 0%] [G loss: 1.514912]
--------------- Epoch 122 ---------------
122 [D loss: 16.283821, acc: 0%] [G loss: 1.377843]
--------------- Epoch 123 ---------------
123 [D loss: 16.281706, acc: 0%] [G loss: 1.456341]
--------------- Epoch 124 ---------------
124 [D loss: 15.685014, acc: 0%] [G loss: 1.797750]
--------------- Epoch 125 ---------------
125 [D loss: 15.984641, acc: 0%] [G loss: 1.606863]
--------------- Epoch 126 ---------------
126 [D loss: 16.248241, acc: 0%] [G loss: 1.843199]
--------------- Epoch 127 ---------------
127 [D loss: 16.093712, acc: 0%] [G loss: 1.610010]
--------------- Epoch 128 ---------------
128 [D loss: 16.329895, acc: 0%] [G loss: 1.740133]
--------------- Epoch 129 ---------------
129 [D loss: 15.933435, acc: 0%] [G loss: 1.478683]
--------------- Epoch 130 ---------------
130 [D loss: 16.093618, acc: 0%] [G loss: 1.517979]
--------------- Epoch 131 ---------------
131 [D loss: 15.863614, acc: 0%] [G loss: 1.681193]
--------------- Epoch 132 ---------------
132 [D loss: 15.720586, acc: 0%] [G loss: 1.549404]
--------------- Epoch 133 ---------------
133 [D loss: 15.639181, acc: 0%] [G loss: 1.568519]
--------------- Epoch 134 ---------------
134 [D loss: 15.563426, acc: 0%] [G loss: 1.720880]
--------------- Epoch 135 ---------------
135 [D loss: 16.412718, acc: 0%] [G loss: 1.318217]
--------------- Epoch 136 ---------------
136 [D loss: 15.848824, acc: 0%] [G loss: 1.648175]
--------------- Epoch 137 ---------------
137 [D loss: 15.928805, acc: 0%] [G loss: 1.214997]
--------------- Epoch 138 ---------------
138 [D loss: 15.984420, acc: 0%] [G loss: 1.427974]
--------------- Epoch 139 ---------------
139 [D loss: 15.628792, acc: 0%] [G loss: 1.399630]
--------------- Epoch 140 ---------------
140 [D loss: 15.895464, acc: 0%] [G loss: 1.845557]
--------------- Epoch 141 ---------------
141 [D loss: 16.331123, acc: 0%] [G loss: 1.702426]
--------------- Epoch 142 ---------------
142 [D loss: 16.006109, acc: 0%] [G loss: 1.573234]
--------------- Epoch 143 ---------------
143 [D loss: 15.772354, acc: 0%] [G loss: 1.854047]
--------------- Epoch 144 ---------------
144 [D loss: 16.021379, acc: 0%] [G loss: 1.836940]
--------------- Epoch 145 ---------------
145 [D loss: 15.906827, acc: 0%] [G loss: 1.520025]
--------------- Epoch 146 ---------------
146 [D loss: 16.057804, acc: 0%] [G loss: 1.841793]
--------------- Epoch 147 ---------------
147 [D loss: 15.611276, acc: 0%] [G loss: 1.618737]
--------------- Epoch 148 ---------------
148 [D loss: 15.699691, acc: 0%] [G loss: 1.590100]
--------------- Epoch 149 ---------------
149 [D loss: 15.657057, acc: 0%] [G loss: 2.004469]
--------------- Epoch 150 ---------------
150 [D loss: 15.885172, acc: 0%] [G loss: 1.743775]
--------------- Epoch 151 ---------------
151 [D loss: 15.665083, acc: 0%] [G loss: 1.967980]
--------------- Epoch 152 ---------------
152 [D loss: 16.004202, acc: 0%] [G loss: 1.424193]
--------------- Epoch 153 ---------------
153 [D loss: 15.805648, acc: 0%] [G loss: 1.737230]
--------------- Epoch 154 ---------------
154 [D loss: 16.159861, acc: 0%] [G loss: 1.732044]
--------------- Epoch 155 ---------------
155 [D loss: 16.550179, acc: 0%] [G loss: 1.553023]
--------------- Epoch 156 ---------------
156 [D loss: 15.962876, acc: 0%] [G loss: 1.721684]
--------------- Epoch 157 ---------------
157 [D loss: 15.591317, acc: 0%] [G loss: 1.540869]
--------------- Epoch 158 ---------------
158 [D loss: 15.623416, acc: 0%] [G loss: 1.592105]
--------------- Epoch 159 ---------------
159 [D loss: 16.447313, acc: 0%] [G loss: 1.716790]
--------------- Epoch 160 ---------------
160 [D loss: 16.037184, acc: 0%] [G loss: 1.509845]
--------------- Epoch 161 ---------------
161 [D loss: 15.492849, acc: 0%] [G loss: 1.697010]
--------------- Epoch 162 ---------------
162 [D loss: 15.909104, acc: 0%] [G loss: 1.474894]
--------------- Epoch 163 ---------------
163 [D loss: 16.226246, acc: 0%] [G loss: 1.883798]
--------------- Epoch 164 ---------------
164 [D loss: 16.156990, acc: 0%] [G loss: 1.449591]
--------------- Epoch 165 ---------------
165 [D loss: 16.134304, acc: 0%] [G loss: 1.480836]
--------------- Epoch 166 ---------------
166 [D loss: 15.778933, acc: 0%] [G loss: 1.746608]
--------------- Epoch 167 ---------------
167 [D loss: 15.829949, acc: 0%] [G loss: 1.515597]
--------------- Epoch 168 ---------------
168 [D loss: 15.716978, acc: 0%] [G loss: 1.483300]
--------------- Epoch 169 ---------------
169 [D loss: 15.708119, acc: 0%] [G loss: 1.939939]
--------------- Epoch 170 ---------------
170 [D loss: 15.863195, acc: 0%] [G loss: 1.537187]
--------------- Epoch 171 ---------------
171 [D loss: 16.091019, acc: 0%] [G loss: 1.616416]
--------------- Epoch 172 ---------------
172 [D loss: 15.934895, acc: 0%] [G loss: 1.571315]
--------------- Epoch 173 ---------------
173 [D loss: 15.637574, acc: 0%] [G loss: 1.573388]
--------------- Epoch 174 ---------------
174 [D loss: 15.831119, acc: 0%] [G loss: 1.662134]
--------------- Epoch 175 ---------------
175 [D loss: 16.012922, acc: 0%] [G loss: 1.745926]
--------------- Epoch 176 ---------------
176 [D loss: 15.889874, acc: 0%] [G loss: 1.957224]
--------------- Epoch 177 ---------------
177 [D loss: 15.701845, acc: 0%] [G loss: 1.421188]
--------------- Epoch 178 ---------------
178 [D loss: 16.397779, acc: 0%] [G loss: 1.478984]
--------------- Epoch 179 ---------------
179 [D loss: 16.345074, acc: 0%] [G loss: 1.616892]
--------------- Epoch 180 ---------------
180 [D loss: 15.894622, acc: 0%] [G loss: 1.480700]
--------------- Epoch 181 ---------------
181 [D loss: 16.001778, acc: 0%] [G loss: 1.525715]
--------------- Epoch 182 ---------------
182 [D loss: 16.031851, acc: 0%] [G loss: 1.415061]
--------------- Epoch 183 ---------------
183 [D loss: 15.801492, acc: 0%] [G loss: 1.392417]
--------------- Epoch 184 ---------------
184 [D loss: 15.687595, acc: 0%] [G loss: 1.761463]
--------------- Epoch 185 ---------------
185 [D loss: 15.672221, acc: 0%] [G loss: 1.871042]
--------------- Epoch 186 ---------------
186 [D loss: 15.442786, acc: 0%] [G loss: 1.229408]
--------------- Epoch 187 ---------------
187 [D loss: 15.667179, acc: 0%] [G loss: 1.959944]
--------------- Epoch 188 ---------------
188 [D loss: 16.214237, acc: 0%] [G loss: 1.570386]
--------------- Epoch 189 ---------------
189 [D loss: 15.774151, acc: 0%] [G loss: 1.510619]
--------------- Epoch 190 ---------------
190 [D loss: 16.111664, acc: 0%] [G loss: 1.787854]
--------------- Epoch 191 ---------------
191 [D loss: 16.093040, acc: 0%] [G loss: 1.498918]
--------------- Epoch 192 ---------------
192 [D loss: 15.861127, acc: 0%] [G loss: 1.266165]
--------------- Epoch 193 ---------------
193 [D loss: 15.869617, acc: 0%] [G loss: 1.779215]
--------------- Epoch 194 ---------------
194 [D loss: 15.940791, acc: 0%] [G loss: 1.610128]
--------------- Epoch 195 ---------------
195 [D loss: 15.834081, acc: 0%] [G loss: 1.551760]
--------------- Epoch 196 ---------------
196 [D loss: 15.824830, acc: 0%] [G loss: 1.730201]
--------------- Epoch 197 ---------------
197 [D loss: 16.424372, acc: 0%] [G loss: 1.648342]
--------------- Epoch 198 ---------------
198 [D loss: 16.078920, acc: 0%] [G loss: 1.698304]
--------------- Epoch 199 ---------------
199 [D loss: 15.901190, acc: 0%] [G loss: 1.202854]
--------------- Epoch 200 ---------------
200 [D loss: 16.045364, acc: 0%] [G loss: 1.550436]
########## Learning Rate: 0.500000 ##########
generator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_88 (LSTM)               (None, 50, 64)            17920     
_________________________________________________________________
dropout_85 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_62 (TimeDis (None, 50, 2)             130       
=================================================================
Total params: 18,050
Trainable params: 18,050
Non-trainable params: 0
_________________________________________________________________
None
discriminator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_89 (LSTM)               (None, 50, 64)            17152     
_________________________________________________________________
dropout_86 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_63 (TimeDis (None, 50, 1)             65        
_________________________________________________________________
average_pooling1d_33 (Averag (None, 1, 1)              0         
_________________________________________________________________
flatten_33 (Flatten)         (None, 1)                 0         
=================================================================
Total params: 17,217
Trainable params: 17,217
Non-trainable params: 0
_________________________________________________________________
None
GAN
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
input_33 (InputLayer)        (None, 50, 5)             0         
_________________________________________________________________
sequential_65 (Sequential)   (None, 50, 2)             18050     
_________________________________________________________________
sequential_66 (Sequential)   (None, 1)                 17217     
=================================================================
Total params: 35,267
Trainable params: 18,050
Non-trainable params: 17,217
_________________________________________________________________
None
--------------- Epoch 1 ---------------
1 [D loss: 16.301809, acc: 0%] [G loss: 1.415613]
--------------- Epoch 2 ---------------
2 [D loss: 16.162193, acc: 0%] [G loss: 1.496523]
--------------- Epoch 3 ---------------
3 [D loss: 16.082115, acc: 0%] [G loss: 1.365179]
--------------- Epoch 4 ---------------
4 [D loss: 15.897820, acc: 0%] [G loss: 1.457381]
--------------- Epoch 5 ---------------
5 [D loss: 15.946564, acc: 0%] [G loss: 1.530899]
--------------- Epoch 6 ---------------
6 [D loss: 15.965672, acc: 0%] [G loss: 1.685349]
--------------- Epoch 7 ---------------
7 [D loss: 16.429916, acc: 0%] [G loss: 1.617132]
--------------- Epoch 8 ---------------
8 [D loss: 16.293264, acc: 0%] [G loss: 1.905372]
--------------- Epoch 9 ---------------
9 [D loss: 15.432261, acc: 0%] [G loss: 1.753673]
--------------- Epoch 10 ---------------
10 [D loss: 15.959687, acc: 0%] [G loss: 1.819160]
--------------- Epoch 11 ---------------
11 [D loss: 16.160435, acc: 0%] [G loss: 1.968583]
--------------- Epoch 12 ---------------
12 [D loss: 15.805315, acc: 0%] [G loss: 1.962517]
--------------- Epoch 13 ---------------
13 [D loss: 15.745749, acc: 0%] [G loss: 1.841595]
--------------- Epoch 14 ---------------
14 [D loss: 15.859256, acc: 0%] [G loss: 1.819674]
--------------- Epoch 15 ---------------
15 [D loss: 16.054611, acc: 0%] [G loss: 1.696750]
--------------- Epoch 16 ---------------
16 [D loss: 15.728200, acc: 0%] [G loss: 1.586097]
--------------- Epoch 17 ---------------
17 [D loss: 16.343006, acc: 0%] [G loss: 1.498833]
--------------- Epoch 18 ---------------
18 [D loss: 15.979404, acc: 0%] [G loss: 1.974433]
--------------- Epoch 19 ---------------
19 [D loss: 16.045609, acc: 0%] [G loss: 1.542254]
--------------- Epoch 20 ---------------
20 [D loss: 15.617646, acc: 0%] [G loss: 1.443651]
--------------- Epoch 21 ---------------
21 [D loss: 15.471523, acc: 0%] [G loss: 1.720580]
--------------- Epoch 22 ---------------
22 [D loss: 16.046101, acc: 0%] [G loss: 1.544451]
--------------- Epoch 23 ---------------
23 [D loss: 16.201818, acc: 0%] [G loss: 1.382451]
--------------- Epoch 24 ---------------
24 [D loss: 16.100925, acc: 0%] [G loss: 1.752974]
--------------- Epoch 25 ---------------
25 [D loss: 16.322948, acc: 0%] [G loss: 1.668626]
--------------- Epoch 26 ---------------
26 [D loss: 15.484133, acc: 0%] [G loss: 1.427632]
--------------- Epoch 27 ---------------
27 [D loss: 16.213734, acc: 0%] [G loss: 1.577228]
--------------- Epoch 28 ---------------
28 [D loss: 15.968874, acc: 0%] [G loss: 1.824415]
--------------- Epoch 29 ---------------
29 [D loss: 15.796430, acc: 0%] [G loss: 1.557081]
--------------- Epoch 30 ---------------
30 [D loss: 15.598679, acc: 0%] [G loss: 1.710018]
--------------- Epoch 31 ---------------
31 [D loss: 15.965203, acc: 0%] [G loss: 1.681027]
--------------- Epoch 32 ---------------
32 [D loss: 15.876400, acc: 0%] [G loss: 1.543699]
--------------- Epoch 33 ---------------
33 [D loss: 16.042225, acc: 0%] [G loss: 1.751147]
--------------- Epoch 34 ---------------
34 [D loss: 16.447540, acc: 0%] [G loss: 1.284337]
--------------- Epoch 35 ---------------
35 [D loss: 16.043976, acc: 0%] [G loss: 1.418502]
--------------- Epoch 36 ---------------
36 [D loss: 15.858891, acc: 0%] [G loss: 1.481841]
--------------- Epoch 37 ---------------
37 [D loss: 15.991041, acc: 0%] [G loss: 1.661570]
--------------- Epoch 38 ---------------
38 [D loss: 15.994128, acc: 0%] [G loss: 1.710644]
--------------- Epoch 39 ---------------
39 [D loss: 15.307385, acc: 0%] [G loss: 1.612217]
--------------- Epoch 40 ---------------
40 [D loss: 15.917147, acc: 0%] [G loss: 1.612220]
--------------- Epoch 41 ---------------
41 [D loss: 15.658254, acc: 0%] [G loss: 1.482174]
--------------- Epoch 42 ---------------
42 [D loss: 15.955827, acc: 0%] [G loss: 1.790523]
--------------- Epoch 43 ---------------
43 [D loss: 16.051153, acc: 0%] [G loss: 1.451501]
--------------- Epoch 44 ---------------
44 [D loss: 15.939462, acc: 0%] [G loss: 1.573481]
--------------- Epoch 45 ---------------
45 [D loss: 15.961390, acc: 0%] [G loss: 1.509492]
--------------- Epoch 46 ---------------
46 [D loss: 15.516155, acc: 0%] [G loss: 1.530374]
--------------- Epoch 47 ---------------
47 [D loss: 16.220242, acc: 0%] [G loss: 1.716931]
--------------- Epoch 48 ---------------
48 [D loss: 15.818727, acc: 0%] [G loss: 1.702637]
--------------- Epoch 49 ---------------
49 [D loss: 16.332167, acc: 0%] [G loss: 1.550974]
--------------- Epoch 50 ---------------
50 [D loss: 15.865170, acc: 0%] [G loss: 1.766407]
--------------- Epoch 51 ---------------
51 [D loss: 15.723399, acc: 0%] [G loss: 1.500425]
--------------- Epoch 52 ---------------
52 [D loss: 16.631777, acc: 0%] [G loss: 1.632081]
--------------- Epoch 53 ---------------
53 [D loss: 15.853026, acc: 0%] [G loss: 1.620564]
--------------- Epoch 54 ---------------
54 [D loss: 15.704103, acc: 0%] [G loss: 1.767906]
--------------- Epoch 55 ---------------
55 [D loss: 15.905367, acc: 0%] [G loss: 1.331134]
--------------- Epoch 56 ---------------
56 [D loss: 16.054640, acc: 0%] [G loss: 1.687692]
--------------- Epoch 57 ---------------
57 [D loss: 16.044188, acc: 0%] [G loss: 1.529138]
--------------- Epoch 58 ---------------
58 [D loss: 16.187696, acc: 0%] [G loss: 1.858849]
--------------- Epoch 59 ---------------
59 [D loss: 16.165955, acc: 0%] [G loss: 1.573525]
--------------- Epoch 60 ---------------
60 [D loss: 15.694460, acc: 0%] [G loss: 1.491249]
--------------- Epoch 61 ---------------
61 [D loss: 15.948396, acc: 0%] [G loss: 1.820554]
--------------- Epoch 62 ---------------
62 [D loss: 15.981786, acc: 0%] [G loss: 1.401944]
--------------- Epoch 63 ---------------
63 [D loss: 16.035530, acc: 0%] [G loss: 1.563350]
--------------- Epoch 64 ---------------
64 [D loss: 15.390907, acc: 0%] [G loss: 1.316424]
--------------- Epoch 65 ---------------
65 [D loss: 16.081039, acc: 0%] [G loss: 1.366942]
--------------- Epoch 66 ---------------
66 [D loss: 16.233419, acc: 0%] [G loss: 1.526816]
--------------- Epoch 67 ---------------
67 [D loss: 15.524699, acc: 0%] [G loss: 1.500086]
--------------- Epoch 68 ---------------
68 [D loss: 15.737419, acc: 0%] [G loss: 1.608570]
--------------- Epoch 69 ---------------
69 [D loss: 16.018959, acc: 0%] [G loss: 1.376763]
--------------- Epoch 70 ---------------
70 [D loss: 16.235392, acc: 0%] [G loss: 1.624968]
--------------- Epoch 71 ---------------
71 [D loss: 16.289545, acc: 0%] [G loss: 1.757165]
--------------- Epoch 72 ---------------
72 [D loss: 16.208313, acc: 0%] [G loss: 1.520132]
--------------- Epoch 73 ---------------
73 [D loss: 16.159971, acc: 0%] [G loss: 1.518114]
--------------- Epoch 74 ---------------
74 [D loss: 15.975926, acc: 0%] [G loss: 1.732433]
--------------- Epoch 75 ---------------
75 [D loss: 16.535027, acc: 0%] [G loss: 1.499377]
--------------- Epoch 76 ---------------
76 [D loss: 15.816255, acc: 0%] [G loss: 1.530017]
--------------- Epoch 77 ---------------
77 [D loss: 15.943493, acc: 0%] [G loss: 1.370043]
--------------- Epoch 78 ---------------
78 [D loss: 15.788789, acc: 0%] [G loss: 1.161814]
--------------- Epoch 79 ---------------
79 [D loss: 16.591446, acc: 0%] [G loss: 1.355187]
--------------- Epoch 80 ---------------
80 [D loss: 15.884830, acc: 0%] [G loss: 1.509521]
--------------- Epoch 81 ---------------
81 [D loss: 16.184179, acc: 0%] [G loss: 1.784433]
--------------- Epoch 82 ---------------
82 [D loss: 15.935917, acc: 0%] [G loss: 1.462420]
--------------- Epoch 83 ---------------
83 [D loss: 15.667332, acc: 0%] [G loss: 1.548269]
--------------- Epoch 84 ---------------
84 [D loss: 15.982385, acc: 0%] [G loss: 1.664966]
--------------- Epoch 85 ---------------
85 [D loss: 16.242657, acc: 0%] [G loss: 1.792378]
--------------- Epoch 86 ---------------
86 [D loss: 15.819083, acc: 0%] [G loss: 1.650494]
--------------- Epoch 87 ---------------
87 [D loss: 15.697900, acc: 0%] [G loss: 1.693391]
--------------- Epoch 88 ---------------
88 [D loss: 15.505445, acc: 0%] [G loss: 1.533058]
--------------- Epoch 89 ---------------
89 [D loss: 15.728333, acc: 0%] [G loss: 1.666521]
--------------- Epoch 90 ---------------
90 [D loss: 15.702199, acc: 0%] [G loss: 1.675722]
--------------- Epoch 91 ---------------
91 [D loss: 15.921841, acc: 0%] [G loss: 1.695673]
--------------- Epoch 92 ---------------
92 [D loss: 15.717885, acc: 0%] [G loss: 1.396222]
--------------- Epoch 93 ---------------
93 [D loss: 15.774031, acc: 0%] [G loss: 1.705094]
--------------- Epoch 94 ---------------
94 [D loss: 16.142185, acc: 0%] [G loss: 1.361862]
--------------- Epoch 95 ---------------
95 [D loss: 15.869358, acc: 0%] [G loss: 1.513934]
--------------- Epoch 96 ---------------
96 [D loss: 15.954792, acc: 0%] [G loss: 1.595130]
--------------- Epoch 97 ---------------
97 [D loss: 16.146940, acc: 0%] [G loss: 1.880737]
--------------- Epoch 98 ---------------
98 [D loss: 16.232203, acc: 0%] [G loss: 1.751447]
--------------- Epoch 99 ---------------
99 [D loss: 15.592759, acc: 0%] [G loss: 1.535771]
--------------- Epoch 100 ---------------
100 [D loss: 16.125820, acc: 0%] [G loss: 1.784928]
--------------- Epoch 101 ---------------
101 [D loss: 16.245314, acc: 0%] [G loss: 1.736611]
--------------- Epoch 102 ---------------
102 [D loss: 16.125242, acc: 0%] [G loss: 1.815007]
--------------- Epoch 103 ---------------
103 [D loss: 16.298779, acc: 0%] [G loss: 1.669531]
--------------- Epoch 104 ---------------
104 [D loss: 16.034817, acc: 0%] [G loss: 1.350512]
--------------- Epoch 105 ---------------
105 [D loss: 15.821718, acc: 0%] [G loss: 1.616058]
--------------- Epoch 106 ---------------
106 [D loss: 16.359510, acc: 0%] [G loss: 1.513837]
--------------- Epoch 107 ---------------
107 [D loss: 16.081959, acc: 0%] [G loss: 1.786978]
--------------- Epoch 108 ---------------
108 [D loss: 16.332823, acc: 0%] [G loss: 1.286843]
--------------- Epoch 109 ---------------
109 [D loss: 15.833583, acc: 0%] [G loss: 1.357052]
--------------- Epoch 110 ---------------
110 [D loss: 16.013298, acc: 0%] [G loss: 1.605524]
--------------- Epoch 111 ---------------
111 [D loss: 15.943975, acc: 0%] [G loss: 1.746233]
--------------- Epoch 112 ---------------
112 [D loss: 15.659932, acc: 0%] [G loss: 1.196007]
--------------- Epoch 113 ---------------
113 [D loss: 16.191353, acc: 0%] [G loss: 1.617303]
--------------- Epoch 114 ---------------
114 [D loss: 15.952752, acc: 0%] [G loss: 1.337769]
--------------- Epoch 115 ---------------
115 [D loss: 16.043568, acc: 0%] [G loss: 1.409721]
--------------- Epoch 116 ---------------
116 [D loss: 15.605852, acc: 0%] [G loss: 1.530357]
--------------- Epoch 117 ---------------
117 [D loss: 15.904026, acc: 0%] [G loss: 2.030895]
--------------- Epoch 118 ---------------
118 [D loss: 16.415522, acc: 0%] [G loss: 1.543514]
--------------- Epoch 119 ---------------
119 [D loss: 15.522223, acc: 0%] [G loss: 1.541622]
--------------- Epoch 120 ---------------
120 [D loss: 16.000650, acc: 0%] [G loss: 1.453307]
--------------- Epoch 121 ---------------
121 [D loss: 15.847804, acc: 0%] [G loss: 1.432705]
--------------- Epoch 122 ---------------
122 [D loss: 16.032740, acc: 0%] [G loss: 1.600858]
--------------- Epoch 123 ---------------
123 [D loss: 15.362496, acc: 0%] [G loss: 1.717134]
--------------- Epoch 124 ---------------
124 [D loss: 16.062008, acc: 0%] [G loss: 1.396297]
--------------- Epoch 125 ---------------
125 [D loss: 16.174450, acc: 0%] [G loss: 1.472290]
--------------- Epoch 126 ---------------
126 [D loss: 15.685174, acc: 0%] [G loss: 1.464523]
--------------- Epoch 127 ---------------
127 [D loss: 15.830037, acc: 0%] [G loss: 1.501079]
--------------- Epoch 128 ---------------
128 [D loss: 15.987494, acc: 0%] [G loss: 1.619800]
--------------- Epoch 129 ---------------
129 [D loss: 15.588948, acc: 0%] [G loss: 1.649631]
--------------- Epoch 130 ---------------
130 [D loss: 16.056709, acc: 0%] [G loss: 1.398195]
--------------- Epoch 131 ---------------
131 [D loss: 15.671638, acc: 0%] [G loss: 1.621660]
--------------- Epoch 132 ---------------
132 [D loss: 15.956868, acc: 0%] [G loss: 1.870553]
--------------- Epoch 133 ---------------
133 [D loss: 15.525891, acc: 0%] [G loss: 1.540497]
--------------- Epoch 134 ---------------
134 [D loss: 15.784156, acc: 0%] [G loss: 1.540764]
--------------- Epoch 135 ---------------
135 [D loss: 15.971466, acc: 0%] [G loss: 1.493541]
--------------- Epoch 136 ---------------
136 [D loss: 15.941031, acc: 0%] [G loss: 1.846165]
--------------- Epoch 137 ---------------
137 [D loss: 15.652734, acc: 0%] [G loss: 1.628728]
--------------- Epoch 138 ---------------
138 [D loss: 15.908603, acc: 0%] [G loss: 1.692790]
--------------- Epoch 139 ---------------
139 [D loss: 16.209129, acc: 0%] [G loss: 1.568691]
--------------- Epoch 140 ---------------
140 [D loss: 15.528677, acc: 0%] [G loss: 1.621470]
--------------- Epoch 141 ---------------
141 [D loss: 16.170366, acc: 0%] [G loss: 1.568083]
--------------- Epoch 142 ---------------
142 [D loss: 15.993229, acc: 0%] [G loss: 1.819206]
--------------- Epoch 143 ---------------
143 [D loss: 15.665551, acc: 0%] [G loss: 1.694817]
--------------- Epoch 144 ---------------
144 [D loss: 15.679195, acc: 0%] [G loss: 1.619432]
--------------- Epoch 145 ---------------
145 [D loss: 15.881667, acc: 0%] [G loss: 1.589979]
--------------- Epoch 146 ---------------
146 [D loss: 15.960907, acc: 0%] [G loss: 1.527395]
--------------- Epoch 147 ---------------
147 [D loss: 15.515389, acc: 0%] [G loss: 1.531164]
--------------- Epoch 148 ---------------
148 [D loss: 15.927607, acc: 0%] [G loss: 1.767403]
--------------- Epoch 149 ---------------
149 [D loss: 16.155273, acc: 0%] [G loss: 1.834813]
--------------- Epoch 150 ---------------
150 [D loss: 16.122623, acc: 0%] [G loss: 1.705421]
--------------- Epoch 151 ---------------
151 [D loss: 15.602917, acc: 0%] [G loss: 1.519283]
--------------- Epoch 152 ---------------
152 [D loss: 16.037222, acc: 0%] [G loss: 1.760033]
--------------- Epoch 153 ---------------
153 [D loss: 15.580777, acc: 0%] [G loss: 1.544635]
--------------- Epoch 154 ---------------
154 [D loss: 15.928210, acc: 0%] [G loss: 1.535583]
--------------- Epoch 155 ---------------
155 [D loss: 15.518849, acc: 0%] [G loss: 1.539779]
--------------- Epoch 156 ---------------
156 [D loss: 15.822182, acc: 0%] [G loss: 1.425726]
--------------- Epoch 157 ---------------
157 [D loss: 15.710152, acc: 0%] [G loss: 1.418572]
--------------- Epoch 158 ---------------
158 [D loss: 16.326323, acc: 0%] [G loss: 1.312390]
--------------- Epoch 159 ---------------
159 [D loss: 15.719354, acc: 0%] [G loss: 1.694950]
--------------- Epoch 160 ---------------
160 [D loss: 15.586044, acc: 0%] [G loss: 1.710403]
--------------- Epoch 161 ---------------
161 [D loss: 16.284964, acc: 0%] [G loss: 1.381915]
--------------- Epoch 162 ---------------
162 [D loss: 16.045900, acc: 0%] [G loss: 1.988452]
--------------- Epoch 163 ---------------
163 [D loss: 15.953392, acc: 0%] [G loss: 1.615875]
--------------- Epoch 164 ---------------
164 [D loss: 16.254150, acc: 0%] [G loss: 1.544217]
--------------- Epoch 165 ---------------
165 [D loss: 16.283222, acc: 0%] [G loss: 1.768066]
--------------- Epoch 166 ---------------
166 [D loss: 15.809552, acc: 0%] [G loss: 1.452583]
--------------- Epoch 167 ---------------
167 [D loss: 16.276144, acc: 0%] [G loss: 1.655810]
--------------- Epoch 168 ---------------
168 [D loss: 16.534750, acc: 0%] [G loss: 1.606845]
--------------- Epoch 169 ---------------
169 [D loss: 16.009892, acc: 0%] [G loss: 1.459337]
--------------- Epoch 170 ---------------
170 [D loss: 15.886548, acc: 0%] [G loss: 1.395006]
--------------- Epoch 171 ---------------
171 [D loss: 16.171465, acc: 0%] [G loss: 1.537893]
--------------- Epoch 172 ---------------
172 [D loss: 15.743278, acc: 0%] [G loss: 1.820472]
--------------- Epoch 173 ---------------
173 [D loss: 15.762401, acc: 0%] [G loss: 1.648795]
--------------- Epoch 174 ---------------
174 [D loss: 16.178482, acc: 0%] [G loss: 1.256409]
--------------- Epoch 175 ---------------
175 [D loss: 15.966468, acc: 0%] [G loss: 1.865404]
--------------- Epoch 176 ---------------
176 [D loss: 15.868585, acc: 0%] [G loss: 1.470671]
--------------- Epoch 177 ---------------
177 [D loss: 15.816944, acc: 0%] [G loss: 1.314645]
--------------- Epoch 178 ---------------
178 [D loss: 16.163910, acc: 0%] [G loss: 2.000111]
--------------- Epoch 179 ---------------
179 [D loss: 15.902820, acc: 0%] [G loss: 1.973534]
--------------- Epoch 180 ---------------
180 [D loss: 16.272755, acc: 0%] [G loss: 1.593016]
--------------- Epoch 181 ---------------
181 [D loss: 15.964815, acc: 0%] [G loss: 1.374543]
--------------- Epoch 182 ---------------
182 [D loss: 16.048693, acc: 0%] [G loss: 1.981634]
--------------- Epoch 183 ---------------
183 [D loss: 15.741138, acc: 0%] [G loss: 1.578987]
--------------- Epoch 184 ---------------
184 [D loss: 16.424076, acc: 0%] [G loss: 1.962984]
--------------- Epoch 185 ---------------
185 [D loss: 16.164608, acc: 0%] [G loss: 1.590649]
--------------- Epoch 186 ---------------
186 [D loss: 15.944928, acc: 0%] [G loss: 1.763870]
--------------- Epoch 187 ---------------
187 [D loss: 16.153923, acc: 0%] [G loss: 1.548247]
--------------- Epoch 188 ---------------
188 [D loss: 15.853722, acc: 0%] [G loss: 1.780478]
--------------- Epoch 189 ---------------
189 [D loss: 16.422493, acc: 0%] [G loss: 1.811217]
--------------- Epoch 190 ---------------
190 [D loss: 15.917459, acc: 0%] [G loss: 1.542367]
--------------- Epoch 191 ---------------
191 [D loss: 15.831453, acc: 0%] [G loss: 1.758493]
--------------- Epoch 192 ---------------
192 [D loss: 15.938629, acc: 0%] [G loss: 1.738615]
--------------- Epoch 193 ---------------
193 [D loss: 15.766900, acc: 0%] [G loss: 1.576029]
--------------- Epoch 194 ---------------
194 [D loss: 16.094427, acc: 0%] [G loss: 1.426227]
--------------- Epoch 195 ---------------
195 [D loss: 16.318670, acc: 0%] [G loss: 1.357879]
--------------- Epoch 196 ---------------
196 [D loss: 16.019430, acc: 0%] [G loss: 1.567699]
--------------- Epoch 197 ---------------
197 [D loss: 16.033527, acc: 0%] [G loss: 1.507931]
--------------- Epoch 198 ---------------
198 [D loss: 16.165623, acc: 0%] [G loss: 1.654409]
--------------- Epoch 199 ---------------
199 [D loss: 16.039957, acc: 0%] [G loss: 1.726160]
--------------- Epoch 200 ---------------
200 [D loss: 16.148293, acc: 0%] [G loss: 1.577388]
########## Learning Rate: 0.600000 ##########
generator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_90 (LSTM)               (None, 50, 64)            17920     
_________________________________________________________________
dropout_87 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_64 (TimeDis (None, 50, 2)             130       
=================================================================
Total params: 18,050
Trainable params: 18,050
Non-trainable params: 0
_________________________________________________________________
None
discriminator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_91 (LSTM)               (None, 50, 64)            17152     
_________________________________________________________________
dropout_88 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_65 (TimeDis (None, 50, 1)             65        
_________________________________________________________________
average_pooling1d_34 (Averag (None, 1, 1)              0         
_________________________________________________________________
flatten_34 (Flatten)         (None, 1)                 0         
=================================================================
Total params: 17,217
Trainable params: 17,217
Non-trainable params: 0
_________________________________________________________________
None
GAN
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
input_34 (InputLayer)        (None, 50, 5)             0         
_________________________________________________________________
sequential_67 (Sequential)   (None, 50, 2)             18050     
_________________________________________________________________
sequential_68 (Sequential)   (None, 1)                 17217     
=================================================================
Total params: 35,267
Trainable params: 18,050
Non-trainable params: 17,217
_________________________________________________________________
None
--------------- Epoch 1 ---------------
1 [D loss: 16.362389, acc: 0%] [G loss: 1.932870]
--------------- Epoch 2 ---------------
2 [D loss: 15.869946, acc: 0%] [G loss: 1.586490]
--------------- Epoch 3 ---------------
3 [D loss: 15.750892, acc: 0%] [G loss: 1.793687]
--------------- Epoch 4 ---------------
4 [D loss: 16.262144, acc: 0%] [G loss: 1.655532]
--------------- Epoch 5 ---------------
5 [D loss: 16.092815, acc: 0%] [G loss: 1.496211]
--------------- Epoch 6 ---------------
6 [D loss: 16.006706, acc: 0%] [G loss: 1.528654]
--------------- Epoch 7 ---------------
7 [D loss: 16.565765, acc: 0%] [G loss: 1.559469]
--------------- Epoch 8 ---------------
8 [D loss: 15.526735, acc: 0%] [G loss: 1.683516]
--------------- Epoch 9 ---------------
9 [D loss: 16.188793, acc: 0%] [G loss: 1.570593]
--------------- Epoch 10 ---------------
10 [D loss: 15.967992, acc: 0%] [G loss: 1.418647]
--------------- Epoch 11 ---------------
11 [D loss: 16.155235, acc: 0%] [G loss: 1.497038]
--------------- Epoch 12 ---------------
12 [D loss: 16.042561, acc: 0%] [G loss: 1.308726]
--------------- Epoch 13 ---------------
13 [D loss: 15.621388, acc: 0%] [G loss: 1.732111]
--------------- Epoch 14 ---------------
14 [D loss: 15.878479, acc: 0%] [G loss: 1.571645]
--------------- Epoch 15 ---------------
15 [D loss: 16.096508, acc: 0%] [G loss: 1.296502]
--------------- Epoch 16 ---------------
16 [D loss: 16.158550, acc: 0%] [G loss: 1.591139]
--------------- Epoch 17 ---------------
17 [D loss: 15.861973, acc: 0%] [G loss: 1.249499]
--------------- Epoch 18 ---------------
18 [D loss: 15.697271, acc: 0%] [G loss: 1.570243]
--------------- Epoch 19 ---------------
19 [D loss: 15.801444, acc: 0%] [G loss: 1.588863]
--------------- Epoch 20 ---------------
20 [D loss: 16.024284, acc: 0%] [G loss: 1.757404]
--------------- Epoch 21 ---------------
21 [D loss: 15.825942, acc: 0%] [G loss: 1.485040]
--------------- Epoch 22 ---------------
22 [D loss: 16.253702, acc: 0%] [G loss: 1.656056]
--------------- Epoch 23 ---------------
23 [D loss: 15.833002, acc: 0%] [G loss: 1.306080]
--------------- Epoch 24 ---------------
24 [D loss: 15.996297, acc: 0%] [G loss: 1.651023]
--------------- Epoch 25 ---------------
25 [D loss: 16.097048, acc: 0%] [G loss: 1.665872]
--------------- Epoch 26 ---------------
26 [D loss: 16.115458, acc: 0%] [G loss: 1.674670]
--------------- Epoch 27 ---------------
27 [D loss: 15.951594, acc: 0%] [G loss: 1.562869]
--------------- Epoch 28 ---------------
28 [D loss: 15.491850, acc: 0%] [G loss: 1.533549]
--------------- Epoch 29 ---------------
29 [D loss: 15.766906, acc: 0%] [G loss: 1.805526]
--------------- Epoch 30 ---------------
30 [D loss: 15.933535, acc: 0%] [G loss: 1.713197]
--------------- Epoch 31 ---------------
31 [D loss: 15.871883, acc: 0%] [G loss: 1.775957]
--------------- Epoch 32 ---------------
32 [D loss: 16.266893, acc: 0%] [G loss: 1.482521]
--------------- Epoch 33 ---------------
33 [D loss: 15.720438, acc: 0%] [G loss: 1.286452]
--------------- Epoch 34 ---------------
34 [D loss: 16.333418, acc: 0%] [G loss: 1.557819]
--------------- Epoch 35 ---------------
35 [D loss: 16.060490, acc: 0%] [G loss: 1.707447]
--------------- Epoch 36 ---------------
36 [D loss: 15.941311, acc: 0%] [G loss: 1.884281]
--------------- Epoch 37 ---------------
37 [D loss: 15.949742, acc: 0%] [G loss: 1.705047]
--------------- Epoch 38 ---------------
38 [D loss: 15.701543, acc: 0%] [G loss: 1.427792]
--------------- Epoch 39 ---------------
39 [D loss: 15.909058, acc: 0%] [G loss: 1.714817]
--------------- Epoch 40 ---------------
40 [D loss: 15.589455, acc: 0%] [G loss: 1.802501]
--------------- Epoch 41 ---------------
41 [D loss: 15.828440, acc: 0%] [G loss: 1.467296]
--------------- Epoch 42 ---------------
42 [D loss: 16.130661, acc: 0%] [G loss: 1.686022]
--------------- Epoch 43 ---------------
43 [D loss: 15.722097, acc: 0%] [G loss: 1.665309]
--------------- Epoch 44 ---------------
44 [D loss: 15.938505, acc: 0%] [G loss: 1.856853]
--------------- Epoch 45 ---------------
45 [D loss: 15.378400, acc: 0%] [G loss: 1.621331]
--------------- Epoch 46 ---------------
46 [D loss: 15.607430, acc: 0%] [G loss: 1.674344]
--------------- Epoch 47 ---------------
47 [D loss: 15.527899, acc: 0%] [G loss: 1.239429]
--------------- Epoch 48 ---------------
48 [D loss: 15.872981, acc: 0%] [G loss: 1.588799]
--------------- Epoch 49 ---------------
49 [D loss: 16.011438, acc: 0%] [G loss: 1.475925]
--------------- Epoch 50 ---------------
50 [D loss: 16.093941, acc: 0%] [G loss: 1.752501]
--------------- Epoch 51 ---------------
51 [D loss: 16.244558, acc: 0%] [G loss: 1.279790]
--------------- Epoch 52 ---------------
52 [D loss: 16.250046, acc: 0%] [G loss: 1.549926]
--------------- Epoch 53 ---------------
53 [D loss: 15.705661, acc: 0%] [G loss: 1.510595]
--------------- Epoch 54 ---------------
54 [D loss: 15.432850, acc: 0%] [G loss: 1.812509]
--------------- Epoch 55 ---------------
55 [D loss: 15.761203, acc: 0%] [G loss: 1.597026]
--------------- Epoch 56 ---------------
56 [D loss: 16.033981, acc: 0%] [G loss: 1.505356]
--------------- Epoch 57 ---------------
57 [D loss: 15.942484, acc: 0%] [G loss: 1.686934]
--------------- Epoch 58 ---------------
58 [D loss: 15.706722, acc: 0%] [G loss: 1.692799]
--------------- Epoch 59 ---------------
59 [D loss: 15.491942, acc: 0%] [G loss: 1.535255]
--------------- Epoch 60 ---------------
60 [D loss: 16.353519, acc: 0%] [G loss: 1.760486]
--------------- Epoch 61 ---------------
61 [D loss: 15.724870, acc: 0%] [G loss: 1.336871]
--------------- Epoch 62 ---------------
62 [D loss: 16.195164, acc: 0%] [G loss: 1.446156]
--------------- Epoch 63 ---------------
63 [D loss: 16.224493, acc: 0%] [G loss: 1.428610]
--------------- Epoch 64 ---------------
64 [D loss: 15.911345, acc: 0%] [G loss: 1.465686]
--------------- Epoch 65 ---------------
65 [D loss: 16.284847, acc: 0%] [G loss: 1.825948]
--------------- Epoch 66 ---------------
66 [D loss: 16.059484, acc: 0%] [G loss: 1.868028]
--------------- Epoch 67 ---------------
67 [D loss: 15.843417, acc: 0%] [G loss: 1.793017]
--------------- Epoch 68 ---------------
68 [D loss: 15.889589, acc: 0%] [G loss: 1.889496]
--------------- Epoch 69 ---------------
69 [D loss: 15.495237, acc: 0%] [G loss: 1.637676]
--------------- Epoch 70 ---------------
70 [D loss: 15.917880, acc: 0%] [G loss: 1.584740]
--------------- Epoch 71 ---------------
71 [D loss: 16.281504, acc: 0%] [G loss: 1.492763]
--------------- Epoch 72 ---------------
72 [D loss: 15.679252, acc: 0%] [G loss: 1.322701]
--------------- Epoch 73 ---------------
73 [D loss: 15.529784, acc: 0%] [G loss: 1.270229]
--------------- Epoch 74 ---------------
74 [D loss: 16.078733, acc: 0%] [G loss: 1.574565]
--------------- Epoch 75 ---------------
75 [D loss: 15.907738, acc: 0%] [G loss: 1.681486]
--------------- Epoch 76 ---------------
76 [D loss: 16.302504, acc: 0%] [G loss: 1.660934]
--------------- Epoch 77 ---------------
77 [D loss: 16.038610, acc: 0%] [G loss: 1.538278]
--------------- Epoch 78 ---------------
78 [D loss: 15.578731, acc: 0%] [G loss: 1.549566]
--------------- Epoch 79 ---------------
79 [D loss: 15.886321, acc: 0%] [G loss: 1.637234]
--------------- Epoch 80 ---------------
80 [D loss: 15.525984, acc: 0%] [G loss: 1.669024]
--------------- Epoch 81 ---------------
81 [D loss: 15.980327, acc: 0%] [G loss: 1.465564]
--------------- Epoch 82 ---------------
82 [D loss: 15.922403, acc: 0%] [G loss: 1.410117]
--------------- Epoch 83 ---------------
83 [D loss: 15.501427, acc: 0%] [G loss: 1.620440]
--------------- Epoch 84 ---------------
84 [D loss: 16.173746, acc: 0%] [G loss: 1.346459]
--------------- Epoch 85 ---------------
85 [D loss: 15.857537, acc: 0%] [G loss: 1.535771]
--------------- Epoch 86 ---------------
86 [D loss: 16.148508, acc: 0%] [G loss: 1.641923]
--------------- Epoch 87 ---------------
87 [D loss: 15.941165, acc: 0%] [G loss: 1.493836]
--------------- Epoch 88 ---------------
88 [D loss: 16.198944, acc: 0%] [G loss: 1.480254]
--------------- Epoch 89 ---------------
89 [D loss: 16.039722, acc: 0%] [G loss: 1.455909]
--------------- Epoch 90 ---------------
90 [D loss: 15.253892, acc: 0%] [G loss: 1.434223]
--------------- Epoch 91 ---------------
91 [D loss: 16.229818, acc: 0%] [G loss: 1.895989]
--------------- Epoch 92 ---------------
92 [D loss: 15.982170, acc: 0%] [G loss: 1.725883]
--------------- Epoch 93 ---------------
93 [D loss: 15.454932, acc: 0%] [G loss: 1.624932]
--------------- Epoch 94 ---------------
94 [D loss: 15.865100, acc: 0%] [G loss: 1.512322]
--------------- Epoch 95 ---------------
95 [D loss: 16.182009, acc: 0%] [G loss: 1.682900]
--------------- Epoch 96 ---------------
96 [D loss: 15.990686, acc: 0%] [G loss: 1.568744]
--------------- Epoch 97 ---------------
97 [D loss: 16.096231, acc: 0%] [G loss: 1.437643]
--------------- Epoch 98 ---------------
98 [D loss: 15.624063, acc: 0%] [G loss: 1.652719]
--------------- Epoch 99 ---------------
99 [D loss: 16.353727, acc: 0%] [G loss: 1.519040]
--------------- Epoch 100 ---------------
100 [D loss: 15.720085, acc: 0%] [G loss: 1.775614]
--------------- Epoch 101 ---------------
101 [D loss: 16.214832, acc: 0%] [G loss: 1.788706]
--------------- Epoch 102 ---------------
102 [D loss: 15.988373, acc: 0%] [G loss: 1.318774]
--------------- Epoch 103 ---------------
103 [D loss: 15.617227, acc: 0%] [G loss: 1.672564]
--------------- Epoch 104 ---------------
104 [D loss: 16.266943, acc: 0%] [G loss: 1.824301]
--------------- Epoch 105 ---------------
105 [D loss: 15.796915, acc: 0%] [G loss: 1.689293]
--------------- Epoch 106 ---------------
106 [D loss: 16.334293, acc: 0%] [G loss: 1.788106]
--------------- Epoch 107 ---------------
107 [D loss: 16.178062, acc: 0%] [G loss: 1.391962]
--------------- Epoch 108 ---------------
108 [D loss: 15.774556, acc: 0%] [G loss: 1.723455]
--------------- Epoch 109 ---------------
109 [D loss: 15.570989, acc: 0%] [G loss: 1.765741]
--------------- Epoch 110 ---------------
110 [D loss: 15.619277, acc: 0%] [G loss: 1.351502]
--------------- Epoch 111 ---------------
111 [D loss: 16.048191, acc: 0%] [G loss: 1.427697]
--------------- Epoch 112 ---------------
112 [D loss: 15.857177, acc: 0%] [G loss: 1.943591]
--------------- Epoch 113 ---------------
113 [D loss: 16.292561, acc: 0%] [G loss: 1.654029]
--------------- Epoch 114 ---------------
114 [D loss: 15.745145, acc: 0%] [G loss: 1.412371]
--------------- Epoch 115 ---------------
115 [D loss: 15.948021, acc: 0%] [G loss: 1.715957]
--------------- Epoch 116 ---------------
116 [D loss: 15.509948, acc: 0%] [G loss: 1.402299]
--------------- Epoch 117 ---------------
117 [D loss: 15.854115, acc: 0%] [G loss: 1.851177]
--------------- Epoch 118 ---------------
118 [D loss: 16.178219, acc: 0%] [G loss: 1.369140]
--------------- Epoch 119 ---------------
119 [D loss: 15.310184, acc: 0%] [G loss: 1.871567]
--------------- Epoch 120 ---------------
120 [D loss: 15.848722, acc: 0%] [G loss: 1.670753]
--------------- Epoch 121 ---------------
121 [D loss: 15.869942, acc: 0%] [G loss: 1.402928]
--------------- Epoch 122 ---------------
122 [D loss: 15.652655, acc: 0%] [G loss: 1.694353]
--------------- Epoch 123 ---------------
123 [D loss: 15.797549, acc: 0%] [G loss: 1.400557]
--------------- Epoch 124 ---------------
124 [D loss: 16.167915, acc: 0%] [G loss: 1.521420]
--------------- Epoch 125 ---------------
125 [D loss: 15.694096, acc: 0%] [G loss: 1.479030]
--------------- Epoch 126 ---------------
126 [D loss: 16.364407, acc: 0%] [G loss: 1.617826]
--------------- Epoch 127 ---------------
127 [D loss: 15.745175, acc: 0%] [G loss: 1.527341]
--------------- Epoch 128 ---------------
128 [D loss: 15.962072, acc: 0%] [G loss: 1.278974]
--------------- Epoch 129 ---------------
129 [D loss: 15.693829, acc: 0%] [G loss: 1.761372]
--------------- Epoch 130 ---------------
130 [D loss: 15.784140, acc: 0%] [G loss: 1.538408]
--------------- Epoch 131 ---------------
131 [D loss: 16.079548, acc: 0%] [G loss: 1.596661]
--------------- Epoch 132 ---------------
132 [D loss: 16.229870, acc: 0%] [G loss: 1.453494]
--------------- Epoch 133 ---------------
133 [D loss: 15.460443, acc: 0%] [G loss: 1.629681]
--------------- Epoch 134 ---------------
134 [D loss: 15.672782, acc: 0%] [G loss: 1.544911]
--------------- Epoch 135 ---------------
135 [D loss: 16.114923, acc: 0%] [G loss: 1.734752]
--------------- Epoch 136 ---------------
136 [D loss: 15.911131, acc: 0%] [G loss: 1.351079]
--------------- Epoch 137 ---------------
137 [D loss: 15.863546, acc: 0%] [G loss: 1.376225]
--------------- Epoch 138 ---------------
138 [D loss: 15.845653, acc: 0%] [G loss: 1.625453]
--------------- Epoch 139 ---------------
139 [D loss: 15.879154, acc: 0%] [G loss: 1.886556]
--------------- Epoch 140 ---------------
140 [D loss: 16.128403, acc: 0%] [G loss: 1.546696]
--------------- Epoch 141 ---------------
141 [D loss: 16.105679, acc: 0%] [G loss: 1.642007]
--------------- Epoch 142 ---------------
142 [D loss: 16.311430, acc: 0%] [G loss: 1.366513]
--------------- Epoch 143 ---------------
143 [D loss: 15.660406, acc: 0%] [G loss: 1.559444]
--------------- Epoch 144 ---------------
144 [D loss: 15.749868, acc: 0%] [G loss: 1.450652]
--------------- Epoch 145 ---------------
145 [D loss: 16.278557, acc: 0%] [G loss: 1.667449]
--------------- Epoch 146 ---------------
146 [D loss: 16.284401, acc: 0%] [G loss: 1.485136]
--------------- Epoch 147 ---------------
147 [D loss: 16.191578, acc: 0%] [G loss: 1.859982]
--------------- Epoch 148 ---------------
148 [D loss: 15.596135, acc: 0%] [G loss: 1.812627]
--------------- Epoch 149 ---------------
149 [D loss: 16.276274, acc: 0%] [G loss: 1.682483]
--------------- Epoch 150 ---------------
150 [D loss: 15.697199, acc: 0%] [G loss: 1.583378]
--------------- Epoch 151 ---------------
151 [D loss: 15.973926, acc: 0%] [G loss: 1.540279]
--------------- Epoch 152 ---------------
152 [D loss: 15.769766, acc: 0%] [G loss: 1.864172]
--------------- Epoch 153 ---------------
153 [D loss: 16.314558, acc: 0%] [G loss: 1.735757]
--------------- Epoch 154 ---------------
154 [D loss: 15.676068, acc: 0%] [G loss: 1.245844]
--------------- Epoch 155 ---------------
155 [D loss: 15.756083, acc: 0%] [G loss: 1.776720]
--------------- Epoch 156 ---------------
156 [D loss: 15.758101, acc: 0%] [G loss: 1.746753]
--------------- Epoch 157 ---------------
157 [D loss: 15.517804, acc: 0%] [G loss: 1.674686]
--------------- Epoch 158 ---------------
158 [D loss: 15.978430, acc: 0%] [G loss: 1.747972]
--------------- Epoch 159 ---------------
159 [D loss: 15.538912, acc: 0%] [G loss: 1.687729]
--------------- Epoch 160 ---------------
160 [D loss: 16.030159, acc: 0%] [G loss: 1.631857]
--------------- Epoch 161 ---------------
161 [D loss: 16.435211, acc: 0%] [G loss: 1.476596]
--------------- Epoch 162 ---------------
162 [D loss: 15.933643, acc: 0%] [G loss: 1.617078]
--------------- Epoch 163 ---------------
163 [D loss: 15.517688, acc: 0%] [G loss: 1.548078]
--------------- Epoch 164 ---------------
164 [D loss: 15.890429, acc: 0%] [G loss: 1.985226]
--------------- Epoch 165 ---------------
165 [D loss: 15.993941, acc: 0%] [G loss: 1.585638]
--------------- Epoch 166 ---------------
166 [D loss: 15.969456, acc: 0%] [G loss: 1.730197]
--------------- Epoch 167 ---------------
167 [D loss: 15.791516, acc: 0%] [G loss: 1.981741]
--------------- Epoch 168 ---------------
168 [D loss: 16.079954, acc: 0%] [G loss: 1.722640]
--------------- Epoch 169 ---------------
169 [D loss: 15.590332, acc: 0%] [G loss: 1.795395]
--------------- Epoch 170 ---------------
170 [D loss: 15.934909, acc: 0%] [G loss: 1.707646]
--------------- Epoch 171 ---------------
171 [D loss: 15.922662, acc: 0%] [G loss: 1.597347]
--------------- Epoch 172 ---------------
172 [D loss: 15.951790, acc: 0%] [G loss: 1.806591]
--------------- Epoch 173 ---------------
173 [D loss: 16.121372, acc: 0%] [G loss: 1.554240]
--------------- Epoch 174 ---------------
174 [D loss: 15.741016, acc: 0%] [G loss: 1.736064]
--------------- Epoch 175 ---------------
175 [D loss: 15.804749, acc: 0%] [G loss: 1.734432]
--------------- Epoch 176 ---------------
176 [D loss: 16.259878, acc: 0%] [G loss: 1.424007]
--------------- Epoch 177 ---------------
177 [D loss: 15.893580, acc: 0%] [G loss: 1.787629]
--------------- Epoch 178 ---------------
178 [D loss: 15.930615, acc: 0%] [G loss: 1.598604]
--------------- Epoch 179 ---------------
179 [D loss: 16.100536, acc: 0%] [G loss: 1.746014]
--------------- Epoch 180 ---------------
180 [D loss: 16.098297, acc: 0%] [G loss: 1.141737]
--------------- Epoch 181 ---------------
181 [D loss: 15.722494, acc: 0%] [G loss: 1.314592]
--------------- Epoch 182 ---------------
182 [D loss: 15.898766, acc: 0%] [G loss: 1.812634]
--------------- Epoch 183 ---------------
183 [D loss: 16.096214, acc: 0%] [G loss: 1.894043]
--------------- Epoch 184 ---------------
184 [D loss: 15.703583, acc: 0%] [G loss: 1.496570]
--------------- Epoch 185 ---------------
185 [D loss: 16.047791, acc: 0%] [G loss: 1.742437]
--------------- Epoch 186 ---------------
186 [D loss: 16.259054, acc: 0%] [G loss: 1.754490]
--------------- Epoch 187 ---------------
187 [D loss: 15.884838, acc: 0%] [G loss: 1.492209]
--------------- Epoch 188 ---------------
188 [D loss: 16.260269, acc: 0%] [G loss: 1.743321]
--------------- Epoch 189 ---------------
189 [D loss: 16.275799, acc: 0%] [G loss: 1.566390]
--------------- Epoch 190 ---------------
190 [D loss: 16.146660, acc: 0%] [G loss: 1.695083]
--------------- Epoch 191 ---------------
191 [D loss: 15.703871, acc: 0%] [G loss: 1.310726]
--------------- Epoch 192 ---------------
192 [D loss: 16.101252, acc: 0%] [G loss: 1.546696]
--------------- Epoch 193 ---------------
193 [D loss: 15.894151, acc: 0%] [G loss: 1.483416]
--------------- Epoch 194 ---------------
194 [D loss: 15.760825, acc: 0%] [G loss: 1.462237]
--------------- Epoch 195 ---------------
195 [D loss: 15.599298, acc: 0%] [G loss: 1.737307]
--------------- Epoch 196 ---------------
196 [D loss: 16.106434, acc: 0%] [G loss: 1.614999]
--------------- Epoch 197 ---------------
197 [D loss: 15.845788, acc: 0%] [G loss: 1.402539]
--------------- Epoch 198 ---------------
198 [D loss: 15.535917, acc: 0%] [G loss: 1.359744]
--------------- Epoch 199 ---------------
199 [D loss: 15.885389, acc: 0%] [G loss: 1.715098]
--------------- Epoch 200 ---------------
200 [D loss: 15.697194, acc: 0%] [G loss: 1.395376]
########## Learning Rate: 0.700000 ##########
generator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_92 (LSTM)               (None, 50, 64)            17920     
_________________________________________________________________
dropout_89 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_66 (TimeDis (None, 50, 2)             130       
=================================================================
Total params: 18,050
Trainable params: 18,050
Non-trainable params: 0
_________________________________________________________________
None
discriminator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_93 (LSTM)               (None, 50, 64)            17152     
_________________________________________________________________
dropout_90 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_67 (TimeDis (None, 50, 1)             65        
_________________________________________________________________
average_pooling1d_35 (Averag (None, 1, 1)              0         
_________________________________________________________________
flatten_35 (Flatten)         (None, 1)                 0         
=================================================================
Total params: 17,217
Trainable params: 17,217
Non-trainable params: 0
_________________________________________________________________
None
GAN
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
input_35 (InputLayer)        (None, 50, 5)             0         
_________________________________________________________________
sequential_69 (Sequential)   (None, 50, 2)             18050     
_________________________________________________________________
sequential_70 (Sequential)   (None, 1)                 17217     
=================================================================
Total params: 35,267
Trainable params: 18,050
Non-trainable params: 17,217
_________________________________________________________________
None
--------------- Epoch 1 ---------------
1 [D loss: 16.278038, acc: 0%] [G loss: 1.709887]
--------------- Epoch 2 ---------------
2 [D loss: 15.447536, acc: 0%] [G loss: 1.547044]
--------------- Epoch 3 ---------------
3 [D loss: 15.709222, acc: 0%] [G loss: 1.619620]
--------------- Epoch 4 ---------------
4 [D loss: 15.602061, acc: 0%] [G loss: 1.802291]
--------------- Epoch 5 ---------------
5 [D loss: 15.979081, acc: 0%] [G loss: 1.502643]
--------------- Epoch 6 ---------------
6 [D loss: 15.724853, acc: 0%] [G loss: 1.685260]
--------------- Epoch 7 ---------------
7 [D loss: 16.135527, acc: 0%] [G loss: 1.237591]
--------------- Epoch 8 ---------------
8 [D loss: 15.694638, acc: 0%] [G loss: 1.677898]
--------------- Epoch 9 ---------------
9 [D loss: 15.648612, acc: 0%] [G loss: 1.583939]
--------------- Epoch 10 ---------------
10 [D loss: 16.044062, acc: 0%] [G loss: 1.689555]
--------------- Epoch 11 ---------------
11 [D loss: 16.084480, acc: 0%] [G loss: 1.638026]
--------------- Epoch 12 ---------------
12 [D loss: 16.118807, acc: 0%] [G loss: 1.625137]
--------------- Epoch 13 ---------------
13 [D loss: 16.135015, acc: 0%] [G loss: 1.344972]
--------------- Epoch 14 ---------------
14 [D loss: 15.810174, acc: 0%] [G loss: 1.537407]
--------------- Epoch 15 ---------------
15 [D loss: 15.372647, acc: 0%] [G loss: 1.770591]
--------------- Epoch 16 ---------------
16 [D loss: 15.585400, acc: 0%] [G loss: 1.644294]
--------------- Epoch 17 ---------------
17 [D loss: 15.712040, acc: 0%] [G loss: 1.280392]
--------------- Epoch 18 ---------------
18 [D loss: 15.963544, acc: 0%] [G loss: 1.725163]
--------------- Epoch 19 ---------------
19 [D loss: 15.638981, acc: 0%] [G loss: 2.019730]
--------------- Epoch 20 ---------------
20 [D loss: 16.095932, acc: 0%] [G loss: 1.591765]
--------------- Epoch 21 ---------------
21 [D loss: 16.150721, acc: 0%] [G loss: 1.560036]
--------------- Epoch 22 ---------------
22 [D loss: 15.687590, acc: 0%] [G loss: 1.438516]
--------------- Epoch 23 ---------------
23 [D loss: 15.881603, acc: 0%] [G loss: 1.546426]
--------------- Epoch 24 ---------------
24 [D loss: 15.997033, acc: 0%] [G loss: 1.378511]
--------------- Epoch 25 ---------------
25 [D loss: 15.928205, acc: 0%] [G loss: 1.481614]
--------------- Epoch 26 ---------------
26 [D loss: 15.867435, acc: 0%] [G loss: 1.460043]
--------------- Epoch 27 ---------------
27 [D loss: 15.662996, acc: 0%] [G loss: 1.632899]
--------------- Epoch 28 ---------------
28 [D loss: 15.871389, acc: 0%] [G loss: 1.410865]
--------------- Epoch 29 ---------------
29 [D loss: 15.455729, acc: 0%] [G loss: 1.613650]
--------------- Epoch 30 ---------------
30 [D loss: 15.689665, acc: 0%] [G loss: 1.636381]
--------------- Epoch 31 ---------------
31 [D loss: 16.123091, acc: 0%] [G loss: 1.443225]
--------------- Epoch 32 ---------------
32 [D loss: 15.955395, acc: 0%] [G loss: 1.714878]
--------------- Epoch 33 ---------------
33 [D loss: 15.955673, acc: 0%] [G loss: 1.445631]
--------------- Epoch 34 ---------------
34 [D loss: 15.749348, acc: 0%] [G loss: 1.612927]
--------------- Epoch 35 ---------------
35 [D loss: 16.109919, acc: 0%] [G loss: 1.565530]
--------------- Epoch 36 ---------------
36 [D loss: 16.104359, acc: 0%] [G loss: 1.102602]
--------------- Epoch 37 ---------------
37 [D loss: 16.055397, acc: 0%] [G loss: 1.493443]
--------------- Epoch 38 ---------------
38 [D loss: 16.088287, acc: 0%] [G loss: 1.470851]
--------------- Epoch 39 ---------------
39 [D loss: 15.867740, acc: 0%] [G loss: 1.414515]
--------------- Epoch 40 ---------------
40 [D loss: 16.133699, acc: 0%] [G loss: 1.558138]
--------------- Epoch 41 ---------------
41 [D loss: 15.673989, acc: 0%] [G loss: 1.466329]
--------------- Epoch 42 ---------------
42 [D loss: 16.065224, acc: 0%] [G loss: 1.445430]
--------------- Epoch 43 ---------------
43 [D loss: 15.981526, acc: 0%] [G loss: 1.644173]
--------------- Epoch 44 ---------------
44 [D loss: 15.818160, acc: 0%] [G loss: 1.697518]
--------------- Epoch 45 ---------------
45 [D loss: 15.854708, acc: 0%] [G loss: 1.641934]
--------------- Epoch 46 ---------------
46 [D loss: 15.978087, acc: 0%] [G loss: 1.602603]
--------------- Epoch 47 ---------------
47 [D loss: 15.709341, acc: 0%] [G loss: 1.016789]
--------------- Epoch 48 ---------------
48 [D loss: 16.144735, acc: 0%] [G loss: 1.332436]
--------------- Epoch 49 ---------------
49 [D loss: 15.736174, acc: 0%] [G loss: 1.545363]
--------------- Epoch 50 ---------------
50 [D loss: 15.642287, acc: 0%] [G loss: 1.717271]
--------------- Epoch 51 ---------------
51 [D loss: 15.786134, acc: 0%] [G loss: 1.698680]
--------------- Epoch 52 ---------------
52 [D loss: 15.580963, acc: 0%] [G loss: 1.605577]
--------------- Epoch 53 ---------------
53 [D loss: 15.861492, acc: 0%] [G loss: 1.494079]
--------------- Epoch 54 ---------------
54 [D loss: 15.582965, acc: 0%] [G loss: 1.664685]
--------------- Epoch 55 ---------------
55 [D loss: 15.982337, acc: 0%] [G loss: 1.676219]
--------------- Epoch 56 ---------------
56 [D loss: 15.706154, acc: 0%] [G loss: 1.725309]
--------------- Epoch 57 ---------------
57 [D loss: 16.119148, acc: 0%] [G loss: 1.808876]
--------------- Epoch 58 ---------------
58 [D loss: 15.664044, acc: 0%] [G loss: 1.881215]
--------------- Epoch 59 ---------------
59 [D loss: 15.840961, acc: 0%] [G loss: 1.928700]
--------------- Epoch 60 ---------------
60 [D loss: 15.555202, acc: 0%] [G loss: 1.226365]
--------------- Epoch 61 ---------------
61 [D loss: 15.622516, acc: 0%] [G loss: 1.699987]
--------------- Epoch 62 ---------------
62 [D loss: 16.132460, acc: 0%] [G loss: 1.806944]
--------------- Epoch 63 ---------------
63 [D loss: 15.854844, acc: 0%] [G loss: 1.716713]
--------------- Epoch 64 ---------------
64 [D loss: 15.780253, acc: 0%] [G loss: 1.707032]
--------------- Epoch 65 ---------------
65 [D loss: 15.657300, acc: 0%] [G loss: 1.554099]
--------------- Epoch 66 ---------------
66 [D loss: 16.210262, acc: 0%] [G loss: 1.583177]
--------------- Epoch 67 ---------------
67 [D loss: 16.067213, acc: 0%] [G loss: 1.286304]
--------------- Epoch 68 ---------------
68 [D loss: 15.980711, acc: 0%] [G loss: 1.552219]
--------------- Epoch 69 ---------------
69 [D loss: 15.923354, acc: 0%] [G loss: 1.736915]
--------------- Epoch 70 ---------------
70 [D loss: 15.571723, acc: 0%] [G loss: 1.588065]
--------------- Epoch 71 ---------------
71 [D loss: 15.590009, acc: 0%] [G loss: 1.593533]
--------------- Epoch 72 ---------------
72 [D loss: 15.994925, acc: 0%] [G loss: 1.289788]
--------------- Epoch 73 ---------------
73 [D loss: 16.261820, acc: 0%] [G loss: 1.531679]
--------------- Epoch 74 ---------------
74 [D loss: 16.010592, acc: 0%] [G loss: 1.689013]
--------------- Epoch 75 ---------------
75 [D loss: 15.879984, acc: 0%] [G loss: 1.976459]
--------------- Epoch 76 ---------------
76 [D loss: 16.275164, acc: 0%] [G loss: 1.501856]
--------------- Epoch 77 ---------------
77 [D loss: 15.646363, acc: 0%] [G loss: 1.511533]
--------------- Epoch 78 ---------------
78 [D loss: 16.154003, acc: 0%] [G loss: 1.648757]
--------------- Epoch 79 ---------------
79 [D loss: 15.878717, acc: 0%] [G loss: 1.282460]
--------------- Epoch 80 ---------------
80 [D loss: 15.843722, acc: 0%] [G loss: 1.830715]
--------------- Epoch 81 ---------------
81 [D loss: 16.297268, acc: 0%] [G loss: 1.329786]
--------------- Epoch 82 ---------------
82 [D loss: 16.292419, acc: 0%] [G loss: 1.759682]
--------------- Epoch 83 ---------------
83 [D loss: 16.321697, acc: 0%] [G loss: 1.339038]
--------------- Epoch 84 ---------------
84 [D loss: 16.427626, acc: 0%] [G loss: 1.731148]
--------------- Epoch 85 ---------------
85 [D loss: 15.692760, acc: 0%] [G loss: 1.561419]
--------------- Epoch 86 ---------------
86 [D loss: 15.977180, acc: 0%] [G loss: 1.213160]
--------------- Epoch 87 ---------------
87 [D loss: 16.113008, acc: 0%] [G loss: 1.582869]
--------------- Epoch 88 ---------------
88 [D loss: 16.623718, acc: 0%] [G loss: 1.623099]
--------------- Epoch 89 ---------------
89 [D loss: 15.767954, acc: 0%] [G loss: 1.978473]
--------------- Epoch 90 ---------------
90 [D loss: 16.193960, acc: 0%] [G loss: 2.024634]
--------------- Epoch 91 ---------------
91 [D loss: 16.038200, acc: 0%] [G loss: 1.726095]
--------------- Epoch 92 ---------------
92 [D loss: 15.954707, acc: 0%] [G loss: 1.389799]
--------------- Epoch 93 ---------------
93 [D loss: 16.052334, acc: 0%] [G loss: 1.523306]
--------------- Epoch 94 ---------------
94 [D loss: 16.197533, acc: 0%] [G loss: 1.346431]
--------------- Epoch 95 ---------------
95 [D loss: 16.233551, acc: 0%] [G loss: 1.568083]
--------------- Epoch 96 ---------------
96 [D loss: 16.069283, acc: 0%] [G loss: 1.572336]
--------------- Epoch 97 ---------------
97 [D loss: 16.090885, acc: 0%] [G loss: 1.539403]
--------------- Epoch 98 ---------------
98 [D loss: 15.807265, acc: 0%] [G loss: 1.669451]
--------------- Epoch 99 ---------------
99 [D loss: 15.926743, acc: 0%] [G loss: 1.804782]
--------------- Epoch 100 ---------------
100 [D loss: 15.905460, acc: 0%] [G loss: 1.694765]
--------------- Epoch 101 ---------------
101 [D loss: 15.991537, acc: 0%] [G loss: 1.728388]
--------------- Epoch 102 ---------------
102 [D loss: 16.128183, acc: 0%] [G loss: 1.779630]
--------------- Epoch 103 ---------------
103 [D loss: 15.860827, acc: 0%] [G loss: 1.817950]
--------------- Epoch 104 ---------------
104 [D loss: 15.810489, acc: 0%] [G loss: 1.449948]
--------------- Epoch 105 ---------------
105 [D loss: 16.070168, acc: 0%] [G loss: 1.680118]
--------------- Epoch 106 ---------------
106 [D loss: 16.264320, acc: 0%] [G loss: 1.146463]
--------------- Epoch 107 ---------------
107 [D loss: 16.500219, acc: 0%] [G loss: 1.854192]
--------------- Epoch 108 ---------------
108 [D loss: 16.269979, acc: 0%] [G loss: 1.593777]
--------------- Epoch 109 ---------------
109 [D loss: 16.205482, acc: 0%] [G loss: 1.936169]
--------------- Epoch 110 ---------------
110 [D loss: 15.901166, acc: 0%] [G loss: 1.920439]
--------------- Epoch 111 ---------------
111 [D loss: 15.778021, acc: 0%] [G loss: 1.743271]
--------------- Epoch 112 ---------------
112 [D loss: 16.322803, acc: 0%] [G loss: 1.373566]
--------------- Epoch 113 ---------------
113 [D loss: 15.873247, acc: 0%] [G loss: 1.635745]
--------------- Epoch 114 ---------------
114 [D loss: 16.068005, acc: 0%] [G loss: 1.791216]
--------------- Epoch 115 ---------------
115 [D loss: 15.393759, acc: 0%] [G loss: 1.461235]
--------------- Epoch 116 ---------------
116 [D loss: 16.101303, acc: 0%] [G loss: 1.623866]
--------------- Epoch 117 ---------------
117 [D loss: 15.673524, acc: 0%] [G loss: 1.535865]
--------------- Epoch 118 ---------------
118 [D loss: 15.800347, acc: 0%] [G loss: 1.427154]
--------------- Epoch 119 ---------------
119 [D loss: 16.093224, acc: 0%] [G loss: 1.712260]
--------------- Epoch 120 ---------------
120 [D loss: 16.223436, acc: 0%] [G loss: 1.524526]
--------------- Epoch 121 ---------------
121 [D loss: 15.728749, acc: 0%] [G loss: 1.575327]
--------------- Epoch 122 ---------------
122 [D loss: 15.809332, acc: 0%] [G loss: 1.392016]
--------------- Epoch 123 ---------------
123 [D loss: 16.045879, acc: 0%] [G loss: 1.752522]
--------------- Epoch 124 ---------------
124 [D loss: 16.034588, acc: 0%] [G loss: 1.701034]
--------------- Epoch 125 ---------------
125 [D loss: 15.896458, acc: 0%] [G loss: 1.694888]
--------------- Epoch 126 ---------------
126 [D loss: 15.803861, acc: 0%] [G loss: 1.352998]
--------------- Epoch 127 ---------------
127 [D loss: 15.951386, acc: 0%] [G loss: 1.514816]
--------------- Epoch 128 ---------------
128 [D loss: 16.349560, acc: 0%] [G loss: 1.437289]
--------------- Epoch 129 ---------------
129 [D loss: 15.771877, acc: 0%] [G loss: 1.771608]
--------------- Epoch 130 ---------------
130 [D loss: 16.651808, acc: 0%] [G loss: 1.533703]
--------------- Epoch 131 ---------------
131 [D loss: 16.223656, acc: 0%] [G loss: 1.457235]
--------------- Epoch 132 ---------------
132 [D loss: 15.964047, acc: 0%] [G loss: 1.348496]
--------------- Epoch 133 ---------------
133 [D loss: 16.096588, acc: 0%] [G loss: 1.658471]
--------------- Epoch 134 ---------------
134 [D loss: 15.535144, acc: 0%] [G loss: 1.649713]
--------------- Epoch 135 ---------------
135 [D loss: 15.908189, acc: 0%] [G loss: 1.587684]
--------------- Epoch 136 ---------------
136 [D loss: 16.124485, acc: 0%] [G loss: 1.521770]
--------------- Epoch 137 ---------------
137 [D loss: 15.761452, acc: 0%] [G loss: 1.468605]
--------------- Epoch 138 ---------------
138 [D loss: 15.907036, acc: 0%] [G loss: 1.475442]
--------------- Epoch 139 ---------------
139 [D loss: 15.570078, acc: 0%] [G loss: 1.559489]
--------------- Epoch 140 ---------------
140 [D loss: 15.387806, acc: 0%] [G loss: 1.403976]
--------------- Epoch 141 ---------------
141 [D loss: 16.156521, acc: 0%] [G loss: 1.779301]
--------------- Epoch 142 ---------------
142 [D loss: 15.985640, acc: 0%] [G loss: 1.692093]
--------------- Epoch 143 ---------------
143 [D loss: 15.988441, acc: 0%] [G loss: 1.757127]
--------------- Epoch 144 ---------------
144 [D loss: 15.874660, acc: 0%] [G loss: 1.447135]
--------------- Epoch 145 ---------------
145 [D loss: 16.166893, acc: 0%] [G loss: 1.651798]
--------------- Epoch 146 ---------------
146 [D loss: 16.471844, acc: 0%] [G loss: 1.782741]
--------------- Epoch 147 ---------------
147 [D loss: 15.619846, acc: 0%] [G loss: 1.946739]
--------------- Epoch 148 ---------------
148 [D loss: 15.853316, acc: 0%] [G loss: 1.586466]
--------------- Epoch 149 ---------------
149 [D loss: 16.168835, acc: 0%] [G loss: 1.522629]
--------------- Epoch 150 ---------------
150 [D loss: 15.844466, acc: 0%] [G loss: 1.553933]
--------------- Epoch 151 ---------------
151 [D loss: 15.569961, acc: 0%] [G loss: 1.972239]
--------------- Epoch 152 ---------------
152 [D loss: 16.018854, acc: 0%] [G loss: 1.864701]
--------------- Epoch 153 ---------------
153 [D loss: 16.448175, acc: 0%] [G loss: 1.573641]
--------------- Epoch 154 ---------------
154 [D loss: 15.850021, acc: 0%] [G loss: 1.552920]
--------------- Epoch 155 ---------------
155 [D loss: 15.734256, acc: 0%] [G loss: 1.829535]
--------------- Epoch 156 ---------------
156 [D loss: 16.112095, acc: 0%] [G loss: 1.631220]
--------------- Epoch 157 ---------------
157 [D loss: 15.896128, acc: 0%] [G loss: 1.642884]
--------------- Epoch 158 ---------------
158 [D loss: 15.685004, acc: 0%] [G loss: 1.496613]
--------------- Epoch 159 ---------------
159 [D loss: 15.624510, acc: 0%] [G loss: 1.541559]
--------------- Epoch 160 ---------------
160 [D loss: 15.797029, acc: 0%] [G loss: 1.776838]
--------------- Epoch 161 ---------------
161 [D loss: 16.249498, acc: 0%] [G loss: 1.500394]
--------------- Epoch 162 ---------------
162 [D loss: 15.735012, acc: 0%] [G loss: 1.570274]
--------------- Epoch 163 ---------------
163 [D loss: 15.672312, acc: 0%] [G loss: 1.772994]
--------------- Epoch 164 ---------------
164 [D loss: 16.056128, acc: 0%] [G loss: 1.626931]
--------------- Epoch 165 ---------------
165 [D loss: 15.255873, acc: 0%] [G loss: 1.643775]
--------------- Epoch 166 ---------------
166 [D loss: 15.679457, acc: 0%] [G loss: 1.529677]
--------------- Epoch 167 ---------------
167 [D loss: 15.806423, acc: 0%] [G loss: 1.513079]
--------------- Epoch 168 ---------------
168 [D loss: 15.833566, acc: 0%] [G loss: 1.540422]
--------------- Epoch 169 ---------------
169 [D loss: 15.890936, acc: 0%] [G loss: 1.673685]
--------------- Epoch 170 ---------------
170 [D loss: 16.093395, acc: 0%] [G loss: 1.834792]
--------------- Epoch 171 ---------------
171 [D loss: 15.986287, acc: 0%] [G loss: 1.289480]
--------------- Epoch 172 ---------------
172 [D loss: 15.971990, acc: 0%] [G loss: 1.675535]
--------------- Epoch 173 ---------------
173 [D loss: 16.410095, acc: 0%] [G loss: 1.677151]
--------------- Epoch 174 ---------------
174 [D loss: 15.952137, acc: 0%] [G loss: 1.625971]
--------------- Epoch 175 ---------------
175 [D loss: 15.901753, acc: 0%] [G loss: 1.189275]
--------------- Epoch 176 ---------------
176 [D loss: 15.905268, acc: 0%] [G loss: 1.053716]
--------------- Epoch 177 ---------------
177 [D loss: 16.112812, acc: 0%] [G loss: 1.714262]
--------------- Epoch 178 ---------------
178 [D loss: 16.048424, acc: 0%] [G loss: 1.729293]
--------------- Epoch 179 ---------------
179 [D loss: 16.040909, acc: 0%] [G loss: 1.696953]
--------------- Epoch 180 ---------------
180 [D loss: 15.929945, acc: 0%] [G loss: 1.591980]
--------------- Epoch 181 ---------------
181 [D loss: 15.947491, acc: 0%] [G loss: 1.431883]
--------------- Epoch 182 ---------------
182 [D loss: 15.572868, acc: 0%] [G loss: 1.965539]
--------------- Epoch 183 ---------------
183 [D loss: 15.882085, acc: 0%] [G loss: 1.429551]
--------------- Epoch 184 ---------------
184 [D loss: 16.302139, acc: 0%] [G loss: 1.886664]
--------------- Epoch 185 ---------------
185 [D loss: 16.034168, acc: 0%] [G loss: 1.467134]
--------------- Epoch 186 ---------------
186 [D loss: 16.326338, acc: 0%] [G loss: 1.845743]
--------------- Epoch 187 ---------------
187 [D loss: 16.191378, acc: 0%] [G loss: 1.440713]
--------------- Epoch 188 ---------------
188 [D loss: 16.018963, acc: 0%] [G loss: 1.561723]
--------------- Epoch 189 ---------------
189 [D loss: 16.330090, acc: 0%] [G loss: 1.569391]
--------------- Epoch 190 ---------------
190 [D loss: 15.858496, acc: 0%] [G loss: 1.507189]
--------------- Epoch 191 ---------------
191 [D loss: 15.982533, acc: 0%] [G loss: 1.943678]
--------------- Epoch 192 ---------------
192 [D loss: 15.845506, acc: 0%] [G loss: 1.419095]
--------------- Epoch 193 ---------------
193 [D loss: 15.796109, acc: 0%] [G loss: 1.609853]
--------------- Epoch 194 ---------------
194 [D loss: 15.708898, acc: 0%] [G loss: 1.348679]
--------------- Epoch 195 ---------------
195 [D loss: 15.897903, acc: 0%] [G loss: 1.548253]
--------------- Epoch 196 ---------------
196 [D loss: 15.628786, acc: 0%] [G loss: 1.516464]
--------------- Epoch 197 ---------------
197 [D loss: 15.703654, acc: 0%] [G loss: 1.360643]
--------------- Epoch 198 ---------------
198 [D loss: 16.092966, acc: 0%] [G loss: 1.377231]
--------------- Epoch 199 ---------------
199 [D loss: 15.989049, acc: 0%] [G loss: 1.701106]
--------------- Epoch 200 ---------------
200 [D loss: 16.268692, acc: 0%] [G loss: 1.568300]
########## Learning Rate: 0.800000 ##########
generator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_94 (LSTM)               (None, 50, 64)            17920     
_________________________________________________________________
dropout_91 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_68 (TimeDis (None, 50, 2)             130       
=================================================================
Total params: 18,050
Trainable params: 18,050
Non-trainable params: 0
_________________________________________________________________
None
discriminator
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_95 (LSTM)               (None, 50, 64)            17152     
_________________________________________________________________
dropout_92 (Dropout)         (None, 50, 64)            0         
_________________________________________________________________
time_distributed_69 (TimeDis (None, 50, 1)             65        
_________________________________________________________________
average_pooling1d_36 (Averag (None, 1, 1)              0         
_________________________________________________________________
flatten_36 (Flatten)         (None, 1)                 0         
=================================================================
Total params: 17,217
Trainable params: 17,217
Non-trainable params: 0
_________________________________________________________________
None
GAN
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
input_36 (InputLayer)        (None, 50, 5)             0         
_________________________________________________________________
sequential_71 (Sequential)   (None, 50, 2)             18050     
_________________________________________________________________
sequential_72 (Sequential)   (None, 1)                 17217     
=================================================================
Total params: 35,267
Trainable params: 18,050
Non-trainable params: 17,217
_________________________________________________________________
None
--------------- Epoch 1 ---------------
1 [D loss: 16.025011, acc: 0%] [G loss: 1.666567]
--------------- Epoch 2 ---------------
2 [D loss: 16.032848, acc: 0%] [G loss: 1.845093]
--------------- Epoch 3 ---------------
3 [D loss: 16.110819, acc: 0%] [G loss: 1.312956]
--------------- Epoch 4 ---------------
4 [D loss: 16.189585, acc: 0%] [G loss: 1.769398]
--------------- Epoch 5 ---------------
5 [D loss: 15.808425, acc: 0%] [G loss: 1.759574]
--------------- Epoch 6 ---------------
6 [D loss: 16.146269, acc: 0%] [G loss: 1.617462]
--------------- Epoch 7 ---------------
7 [D loss: 15.989632, acc: 0%] [G loss: 1.319893]
--------------- Epoch 8 ---------------
8 [D loss: 15.811811, acc: 0%] [G loss: 1.587259]
--------------- Epoch 9 ---------------
9 [D loss: 16.461872, acc: 0%] [G loss: 1.427126]
--------------- Epoch 10 ---------------
10 [D loss: 15.864862, acc: 0%] [G loss: 1.517392]
--------------- Epoch 11 ---------------
11 [D loss: 16.268911, acc: 0%] [G loss: 1.717812]
--------------- Epoch 12 ---------------
12 [D loss: 15.881956, acc: 0%] [G loss: 1.528595]
--------------- Epoch 13 ---------------
13 [D loss: 15.395947, acc: 0%] [G loss: 1.715698]
--------------- Epoch 14 ---------------
14 [D loss: 15.893111, acc: 0%] [G loss: 1.508579]
--------------- Epoch 15 ---------------
15 [D loss: 15.889800, acc: 0%] [G loss: 1.622682]
--------------- Epoch 16 ---------------
16 [D loss: 16.260206, acc: 0%] [G loss: 1.493267]
--------------- Epoch 17 ---------------
17 [D loss: 16.063866, acc: 0%] [G loss: 1.759168]
--------------- Epoch 18 ---------------
18 [D loss: 15.947074, acc: 0%] [G loss: 1.705627]
--------------- Epoch 19 ---------------
19 [D loss: 15.995165, acc: 0%] [G loss: 1.681182]
--------------- Epoch 20 ---------------
20 [D loss: 16.080120, acc: 0%] [G loss: 1.743508]
--------------- Epoch 21 ---------------
21 [D loss: 16.108244, acc: 0%] [G loss: 1.691911]
--------------- Epoch 22 ---------------
22 [D loss: 16.048882, acc: 0%] [G loss: 1.633511]
--------------- Epoch 23 ---------------
23 [D loss: 16.056072, acc: 0%] [G loss: 1.498856]
--------------- Epoch 24 ---------------
24 [D loss: 16.416542, acc: 0%] [G loss: 1.565042]
--------------- Epoch 25 ---------------
25 [D loss: 16.185755, acc: 0%] [G loss: 1.212235]
--------------- Epoch 26 ---------------
26 [D loss: 16.079157, acc: 0%] [G loss: 1.459459]
--------------- Epoch 27 ---------------
27 [D loss: 15.982665, acc: 0%] [G loss: 1.750290]
--------------- Epoch 28 ---------------
28 [D loss: 15.971101, acc: 0%] [G loss: 1.488461]
--------------- Epoch 29 ---------------
29 [D loss: 15.679423, acc: 0%] [G loss: 1.381636]
--------------- Epoch 30 ---------------
30 [D loss: 15.553188, acc: 0%] [G loss: 1.501967]
--------------- Epoch 31 ---------------
31 [D loss: 15.662059, acc: 0%] [G loss: 1.774358]
--------------- Epoch 32 ---------------
32 [D loss: 16.092731, acc: 0%] [G loss: 1.626471]
--------------- Epoch 33 ---------------
33 [D loss: 15.915073, acc: 0%] [G loss: 1.580654]
--------------- Epoch 34 ---------------
34 [D loss: 15.826783, acc: 0%] [G loss: 1.284533]
--------------- Epoch 35 ---------------
35 [D loss: 15.920109, acc: 0%] [G loss: 1.291148]
--------------- Epoch 36 ---------------
36 [D loss: 16.109711, acc: 0%] [G loss: 1.737782]
--------------- Epoch 37 ---------------
37 [D loss: 15.739084, acc: 0%] [G loss: 1.611480]
--------------- Epoch 38 ---------------
38 [D loss: 16.289034, acc: 0%] [G loss: 1.912954]
--------------- Epoch 39 ---------------
39 [D loss: 15.423368, acc: 0%] [G loss: 1.524566]
--------------- Epoch 40 ---------------
40 [D loss: 15.699477, acc: 0%] [G loss: 1.385739]
--------------- Epoch 41 ---------------
41 [D loss: 15.811953, acc: 0%] [G loss: 1.512212]
--------------- Epoch 42 ---------------
42 [D loss: 15.681433, acc: 0%] [G loss: 1.512838]
--------------- Epoch 43 ---------------
43 [D loss: 15.864661, acc: 0%] [G loss: 1.585882]
--------------- Epoch 44 ---------------
44 [D loss: 15.767780, acc: 0%] [G loss: 1.765242]
--------------- Epoch 45 ---------------
45 [D loss: 16.363874, acc: 0%] [G loss: 1.411595]
--------------- Epoch 46 ---------------
46 [D loss: 15.925417, acc: 0%] [G loss: 1.566014]
--------------- Epoch 47 ---------------
47 [D loss: 16.149561, acc: 0%] [G loss: 1.842860]
--------------- Epoch 48 ---------------
48 [D loss: 16.205618, acc: 0%] [G loss: 1.658801]
--------------- Epoch 49 ---------------
49 [D loss: 15.831452, acc: 0%] [G loss: 1.485703]
--------------- Epoch 50 ---------------
50 [D loss: 16.174753, acc: 0%] [G loss: 1.441346]
--------------- Epoch 51 ---------------
51 [D loss: 15.978096, acc: 0%] [G loss: 1.434687]
--------------- Epoch 52 ---------------
52 [D loss: 16.108841, acc: 0%] [G loss: 1.505551]
--------------- Epoch 53 ---------------
53 [D loss: 15.827838, acc: 0%] [G loss: 1.394453]
--------------- Epoch 54 ---------------
54 [D loss: 16.203102, acc: 0%] [G loss: 1.615320]
--------------- Epoch 55 ---------------
55 [D loss: 16.102251, acc: 0%] [G loss: 1.460062]
--------------- Epoch 56 ---------------
56 [D loss: 16.238207, acc: 0%] [G loss: 1.517586]
--------------- Epoch 57 ---------------
57 [D loss: 15.860100, acc: 0%] [G loss: 1.435015]
--------------- Epoch 58 ---------------
58 [D loss: 16.061371, acc: 0%] [G loss: 1.602401]
--------------- Epoch 59 ---------------
59 [D loss: 15.836592, acc: 0%] [G loss: 1.769406]
--------------- Epoch 60 ---------------
60 [D loss: 15.779349, acc: 0%] [G loss: 1.490043]
--------------- Epoch 61 ---------------
61 [D loss: 15.700646, acc: 0%] [G loss: 1.688412]
--------------- Epoch 62 ---------------
62 [D loss: 15.816116, acc: 0%] [G loss: 1.657787]
--------------- Epoch 63 ---------------
63 [D loss: 15.997159, acc: 0%] [G loss: 1.835868]
--------------- Epoch 64 ---------------
64 [D loss: 16.023169, acc: 0%] [G loss: 1.413909]
--------------- Epoch 65 ---------------
65 [D loss: 16.061884, acc: 0%] [G loss: 1.384963]
--------------- Epoch 66 ---------------
66 [D loss: 16.098118, acc: 0%] [G loss: 1.788593]
--------------- Epoch 67 ---------------
67 [D loss: 16.000462, acc: 0%] [G loss: 1.690612]
--------------- Epoch 68 ---------------
68 [D loss: 16.014948, acc: 0%] [G loss: 1.461718]
--------------- Epoch 69 ---------------
69 [D loss: 16.151117, acc: 0%] [G loss: 1.785737]
--------------- Epoch 70 ---------------
70 [D loss: 16.085978, acc: 0%] [G loss: 1.580129]
--------------- Epoch 71 ---------------
71 [D loss: 16.126280, acc: 0%] [G loss: 1.715631]
--------------- Epoch 72 ---------------
72 [D loss: 15.754956, acc: 0%] [G loss: 1.773472]
--------------- Epoch 73 ---------------
73 [D loss: 15.625306, acc: 0%] [G loss: 1.763585]
--------------- Epoch 74 ---------------
74 [D loss: 15.906583, acc: 0%] [G loss: 1.365855]
--------------- Epoch 75 ---------------
75 [D loss: 16.154268, acc: 0%] [G loss: 1.518453]
--------------- Epoch 76 ---------------
76 [D loss: 16.075638, acc: 0%] [G loss: 1.566878]
--------------- Epoch 77 ---------------
77 [D loss: 15.742773, acc: 0%] [G loss: 1.981622]
--------------- Epoch 78 ---------------
78 [D loss: 15.699432, acc: 0%] [G loss: 1.693053]
--------------- Epoch 79 ---------------
79 [D loss: 15.798243, acc: 0%] [G loss: 1.580798]
--------------- Epoch 80 ---------------
80 [D loss: 16.044226, acc: 0%] [G loss: 1.858831]
--------------- Epoch 81 ---------------
81 [D loss: 15.863453, acc: 0%] [G loss: 1.590456]
--------------- Epoch 82 ---------------
82 [D loss: 15.863556, acc: 0%] [G loss: 1.635283]
--------------- Epoch 83 ---------------
83 [D loss: 16.010969, acc: 0%] [G loss: 1.666209]
--------------- Epoch 84 ---------------
84 [D loss: 16.217001, acc: 0%] [G loss: 1.433448]
--------------- Epoch 85 ---------------
85 [D loss: 15.817231, acc: 0%] [G loss: 1.363788]
--------------- Epoch 86 ---------------
86 [D loss: 16.358551, acc: 0%] [G loss: 1.514182]
--------------- Epoch 87 ---------------
87 [D loss: 15.917839, acc: 0%] [G loss: 1.386688]
--------------- Epoch 88 ---------------
88 [D loss: 15.778812, acc: 0%] [G loss: 1.729358]
--------------- Epoch 89 ---------------
89 [D loss: 16.085155, acc: 0%] [G loss: 1.488954]
--------------- Epoch 90 ---------------
90 [D loss: 15.985777, acc: 0%] [G loss: 1.706124]
--------------- Epoch 91 ---------------
91 [D loss: 16.147501, acc: 0%] [G loss: 1.627777]
--------------- Epoch 92 ---------------
92 [D loss: 15.955236, acc: 0%] [G loss: 1.762832]
--------------- Epoch 93 ---------------
93 [D loss: 16.072376, acc: 0%] [G loss: 1.615081]
--------------- Epoch 94 ---------------
94 [D loss: 15.770535, acc: 0%] [G loss: 1.991451]
--------------- Epoch 95 ---------------
95 [D loss: 16.059986, acc: 0%] [G loss: 1.340017]
--------------- Epoch 96 ---------------
96 [D loss: 15.982268, acc: 0%] [G loss: 1.345388]
--------------- Epoch 97 ---------------
97 [D loss: 15.503460, acc: 0%] [G loss: 1.692124]
--------------- Epoch 98 ---------------
98 [D loss: 15.831470, acc: 0%] [G loss: 1.448807]
--------------- Epoch 99 ---------------
99 [D loss: 15.702245, acc: 0%] [G loss: 1.543700]
--------------- Epoch 100 ---------------
100 [D loss: 15.848617, acc: 0%] [G loss: 1.715967]
--------------- Epoch 101 ---------------
101 [D loss: 15.836137, acc: 0%] [G loss: 1.845395]
--------------- Epoch 102 ---------------
102 [D loss: 15.631276, acc: 0%] [G loss: 1.777723]
--------------- Epoch 103 ---------------
103 [D loss: 16.329395, acc: 0%] [G loss: 1.822553]
--------------- Epoch 104 ---------------
104 [D loss: 15.535963, acc: 0%] [G loss: 1.539316]
--------------- Epoch 105 ---------------
105 [D loss: 16.079264, acc: 0%] [G loss: 1.479349]
--------------- Epoch 106 ---------------
106 [D loss: 16.296247, acc: 0%] [G loss: 1.603487]
--------------- Epoch 107 ---------------
107 [D loss: 16.156532, acc: 0%] [G loss: 1.649018]
--------------- Epoch 108 ---------------
108 [D loss: 15.763740, acc: 0%] [G loss: 1.614287]
--------------- Epoch 109 ---------------
109 [D loss: 15.884277, acc: 0%] [G loss: 1.657962]
--------------- Epoch 110 ---------------
110 [D loss: 16.375446, acc: 0%] [G loss: 1.672072]
--------------- Epoch 111 ---------------
111 [D loss: 15.777145, acc: 0%] [G loss: 1.523333]
--------------- Epoch 112 ---------------
112 [D loss: 15.901620, acc: 0%] [G loss: 1.910812]
--------------- Epoch 113 ---------------
113 [D loss: 16.059916, acc: 0%] [G loss: 1.714455]
--------------- Epoch 114 ---------------
114 [D loss: 16.169786, acc: 0%] [G loss: 1.485742]
--------------- Epoch 115 ---------------
115 [D loss: 15.860556, acc: 0%] [G loss: 1.855061]
--------------- Epoch 116 ---------------
116 [D loss: 15.987950, acc: 0%] [G loss: 1.396211]
--------------- Epoch 117 ---------------
117 [D loss: 15.741229, acc: 0%] [G loss: 1.647909]
--------------- Epoch 118 ---------------
118 [D loss: 15.673355, acc: 0%] [G loss: 1.763665]
--------------- Epoch 119 ---------------
119 [D loss: 15.850380, acc: 0%] [G loss: 1.564819]
--------------- Epoch 120 ---------------
120 [D loss: 16.026737, acc: 0%] [G loss: 1.217924]
--------------- Epoch 121 ---------------
121 [D loss: 15.681221, acc: 0%] [G loss: 1.594288]
--------------- Epoch 122 ---------------
122 [D loss: 15.971252, acc: 0%] [G loss: 1.607446]
--------------- Epoch 123 ---------------
123 [D loss: 15.606310, acc: 0%] [G loss: 1.383863]
--------------- Epoch 124 ---------------
124 [D loss: 15.815506, acc: 0%] [G loss: 1.413304]
--------------- Epoch 125 ---------------
125 [D loss: 15.741296, acc: 0%] [G loss: 1.560216]
--------------- Epoch 126 ---------------
126 [D loss: 15.914499, acc: 0%] [G loss: 1.726701]
--------------- Epoch 127 ---------------
127 [D loss: 16.099657, acc: 0%] [G loss: 1.648975]
--------------- Epoch 128 ---------------
128 [D loss: 15.593835, acc: 0%] [G loss: 1.462329]
--------------- Epoch 129 ---------------
129 [D loss: 16.086958, acc: 0%] [G loss: 1.518451]
--------------- Epoch 130 ---------------
130 [D loss: 16.030678, acc: 0%] [G loss: 1.629931]
--------------- Epoch 131 ---------------
131 [D loss: 15.826682, acc: 0%] [G loss: 2.032150]
--------------- Epoch 132 ---------------
132 [D loss: 15.940779, acc: 0%] [G loss: 1.451505]
--------------- Epoch 133 ---------------
133 [D loss: 16.177528, acc: 0%] [G loss: 1.512520]
--------------- Epoch 134 ---------------
134 [D loss: 16.207024, acc: 0%] [G loss: 1.488380]
--------------- Epoch 135 ---------------
135 [D loss: 15.532864, acc: 0%] [G loss: 1.613143]
--------------- Epoch 136 ---------------
136 [D loss: 16.476294, acc: 0%] [G loss: 1.758412]
--------------- Epoch 137 ---------------
137 [D loss: 15.675856, acc: 0%] [G loss: 1.693340]
--------------- Epoch 138 ---------------
138 [D loss: 15.642826, acc: 0%] [G loss: 1.754245]
--------------- Epoch 139 ---------------
139 [D loss: 15.889760, acc: 0%] [G loss: 1.825402]
--------------- Epoch 140 ---------------
140 [D loss: 16.044027, acc: 0%] [G loss: 1.597014]
--------------- Epoch 141 ---------------
141 [D loss: 15.822009, acc: 0%] [G loss: 1.761781]
--------------- Epoch 142 ---------------